Are you ready to make a significant impact in data operations? Join our team at JPMorgan Chase as a Pricing Data Analyst, where you'll play a crucial role in managing data quality and supporting our Securities Services and Markets businesses. This is your opportunity to work with a dynamic team, drive strategic initiatives, and contribute to a robust control framework. Elevate your career with us and be part of a team that values innovation and excellence.

As a Pricing Data Analyst within our Reference Data Operations team, you will provide operational support and data management for our Securities Services, Markets, and Asset and Wealth Management businesses. You will manage data quality and exceptions, working closely with professionals across Instrument and Pricing. You will ensure a robust control framework and effective global operating model are in place to service the APAC businesses. This role offers you the chance to provide strategic initiatives and improve reference data operations.

Asset Reference Data Services (ARDS) was created with the mission to help improve the quality, integrity, and reliability of the firm's critical data covering the Instrument and Pricing domains and sits within Securities Services. The organization's objectives are to deliver business impact through fit-for-purpose data, improve data capabilities across multiple lines of businesses (LOBs), implement data controls, and deliver reference data. ARDS establishes expectations that drive consistent data governance practices, develops technologies and processes to support data governance capabilities, partners with LOBs to embed data governance best practices and capabilities, and ensures sustainability by refining, measuring, and improving the ability to manage data.

Job responsibilities:

• Be responsible for following the global operating model is effectively servicing the instrument and pricing requirements for the APAC businesses strongly focused on Securities Services and Markets business at JPMorgan Chase

• Work with the team responsible for the creation/maintenance and management of exceptions of instrument reference data on our core platforms

• Provide subject matter expertise support to downstream teams and clients

• Ensure proper controls are in place to reduce financial risks, implement procedures to enforce controls and ensure controls are adhered to

• Resolve client queries promptly and professionally

• Contribute to ongoing developments of the instrument control process

• Provide coverage for the APAC region, staggered shift work and working on public holidays is required

• Participate in ad-hoc project work when required

Required qualifications, capabilities, and skills:

• At least a Bachelor’s degree in Finance, Science, Technology or equivalent disciplines

• At least 1 year work experience in Financial Services is required

• Good understanding of broad financial instruments and products required

• Self-motivated and proactive with the proven ability to work accurately and under pressure to meet deadlines

• Good analytical/problem solving skills and attention to detail

• Demonstrate ability to effectively communicate within a team environment and interact across departments

• Demonstrate customer focus and follow-up skills

• Ability to work independently and multi-task in a fast paced environment

Preferred qualifications, capabilities, and skills:

• Good market data vendor knowledge/experience, i.e. Bloomberg, Refinitiv is preferred

• Knowledge of industry activities, corporate actions, index tracking and capital markets is preferred

• Ability to analyze, mine and query data to formulate solutions and efficiencies is preferred

• Good understanding of databases, data models and data structures is preferred

• Working knowledge of dashboard tools (Power BI, Tableau, Qlik) preferred

• Working knowledge of data languages (SQL, Python, R) and data management platforms (Denodo, Talend, Alteryx) preferred

• Working knowledge of data tools (OwlDQ, UiPath, MS PowerApps, MS Power Automate) preferred

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=9130b873b4edfb7876ea6d23e8bf5263

Job Description:

• Develop data collection platforms (using Microsoft Power Apps) and/or data products (Microsoft PowerPoint reports, interactive Tableau dashboards).
• Support the integration of data sources into a central data repository system, including extract, transform, load (ETL) processes.
• Provide data extraction support to internal stakeholders.

Requirements:

• Degree in business, computer science, information systems or engineering.
• Knowledge of information systems, databases and/or data collection platforms is required.
• Experience with handling data (merging data and data transformation), using visualisation tools such as Tableau, and proficiency in programming language such as Python, SQL are preferred.

Experience with using Microsoft Power Apps is advantageous.

Work Arrangment:

• Contract Period: 12 months
• Location: Upper Pickering Street

EA License No.: 96C4864

Reg. No.: R22110485 SHANICE LIM XIN NI

Job Title: Data Center Operator
Shift Allowance: $10 (Day Shift), $20 (Night Shift)

Key Responsibilities:

1. Security Clearance and Access Management:Process vendor and visitor security clearances for data center (DC) access.
   Escort vendors and visitors within the DC premises.
   
2. Alert and Incident Management:Monitor and respond to alert notifications, particularly after office hours.
   Raise incidents in the IT Service Management (ITSM) system and track them until closure.
   
3. Maintenance Support:Assist in monthly, quarterly, and yearly maintenance activities, including building management tasks such as power shutdowns, air conditioning, and UPS maintenance.
   
4. Hardware Management:Coordinate and support hardware disposal, including hard disks, media, and backup tapes.
   Load and unload backup tapes and prepare them for off-site transfer.
   Maintain and update hardware inventory and rack systems.
   
5. Monitoring and Reporting:Conduct daily checks to ensure data center temperature remains within acceptable levels.
   Identify and report unusual device behavior, such as abnormal blinking lights or sounds.
   Prepare and submit daily and monthly reports for customers.
   

Requirements:

• Strong attention to detail and ability to work effectively in a shift environment.
• Basic understanding of data center operations and IT infrastructure.
• Excellent communication and coordination skills for working with vendors and internal teams.

The primary objective of this role is to deliver comprehensive operational support for Data Platforms, ensuring their reliability, performance, and availability. The individual in this role will be responsible for managing and maintaining data platform infrastructure, monitoring system health, and addressing any technical issues to minimize downtime and optimize efficiency.

Responsibilities :

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization’s ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Perform testing on the deployed data platforms.

Qualifications:

• Degree in Computer Science or equivalent.
• 5 years’ experience as a platform support engineer or a software / data engineer.
• Working experience of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica / Tableau / Power BI.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.

Advantageous experience includes:

• Java, Python
• Snowflake, Oracle, MS SQL, Denodo
• AWS services
• Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.

We regret to inform that only shortlisted candidates will be notified / contacted.

Job Reference: Alfa Agahari JN -122024-47076

EA Registration No.: R22110376, Blassius Alfa Putra Agahari

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Responsibilities:

• Able to provide good understanding of architecture design of the project and be part of the development team to execute it properly.
• To be collaborating with Architect to build and maintain integrations for multiple on premises and/or cloud systems and must be capable of understanding business requirements, working with end users and developing and deploying the integrations.
• Able to provide technical expertise in large, complex environments and must have a track record of successful and reference-able customer projects. This position requires knowledge and experience with J2EE, MuleSoft product suite as well as experience in detailed requirements analysis, software design, development, testing, and deployment.
• Will work with the Engagement Manager, customers, architects and partners to implement MuleSoft's AnyPoint platform in order to solve mission-critical business challenges.
• Identify, analyze and develop interfaces and integration flows using Mule ESB Any platform including Mule Runtime, Connectors, Design Center and API Management.
• Seeks and engages in continued learning of Agile practices and principles, ensuring that development technologies and best practices methodologies are adopted and applied by all team members.
• Design and implement data architecture strategies to support S4 HANA migration and MuleSoft integration projects.
• Provide oversight and governance for large-scale data projects, ensuring alignment with business objectives and technical requirements.
• Collaborate with the PMO to manage project timelines, resources, and deliverables effectively.
• Review and validate data models, workflows, and integration frameworks for large enterprise projects.

Profile

• Bachelor’s Degree or equivalent experience required
• 6+ years of Working knowledge of MuleSoft SaaS technology, and business integrations and maintenance within complex international organizations (RQUIRED)
• Mulesoft architect with PMO or Program Manager capabilities is a MUST.
• Background in software development and familiarity with End of End Development.
• Experienced in Back End Technology such as Node JS, Java API Architecture.
• Deep understanding of Synchronous / Asynchronous communication patterns and problem-solving abilities with respect to message sequencing, correlation, and queuing.
• Experienced in Mule administration, Configuration and tuning.
• Lead the data migration process from legacy systems (e.g., TIBCO/Talend) to MuleSoft, ensuring data quality, integrity, and security.
• Demonstrate an understanding of software patterns, software modelling, secure programming principles, test-driven development or another unit testing methodology, and code standards compliance.
• Adept at producing fully responsive applications within a multitude of environments using modern, up-to-date techniques whilst still being able to support legacy systems and platforms.
• Working knowledge of MuleSoft, SaaS technology, and SaaS business integrations and maintenance within complex international organizations. (REQUIRED)
• Knowledge in on-Premise Platform integration (e.g. Informatica, Talend , TIBCO)

Good to Have:

• MuleSoft Certified Developer – Level 1 (Mule 4)
• MuleSoft Certified Developer – Integration and API Associate (Mule 3)
• MuleSoft Certified Platform Architect – Level 1
• MuleSoft Certified Developer – Level 1 (Mule 4) DELTA
• MuleSoft Certified Developer- API Design Associate (RAML 1.0)

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow SSG into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency. This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the SSG officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
• Apply data mining techniques and perform statistical analysis to generate insights at scale
• Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

POSITION OVERVIEW : Data Engineer cum PM(Dual Role)

POSITION GENERAL DUTIES AND TASKS :

Role and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology. b) Involve in project planning and budgeting. c) Plan and lead project delivery. d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor). e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor). f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems. g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies. h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality. i) Mitigate project risks. j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines. k) Evaluate potential solutions and make recommendations to resolve business problems. l) Provide guidance and coaching to junior team members. m) Conduct end user training if required.

Requirements / Qualifications a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent. b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions. c) Minimal Four (4) years’ experience in project management. d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques. e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools. f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams. g) Strong analytical skills and ability to work independently, as well as in a team. h) Exposure to hospital information / clinical systems is an added advantage. i) AWS cloud experience is a must. j). Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills: • Experience in AWS Services focusing on data and architecting. • Knowledge of containerization and orchestration tools like Docker and Kubernetes. • Familiarity with data visualization tools like Tableau or Power BI. • Understanding of DevOps principles for managing and deploying data pipelines. • Experience with version control systems (e.g., Git) and CI/CD pipelines. * Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Maltem Singapore is currently seeking a Business Data Analyst for our Wealth Management Client.

Summary:

Supporting the Data Governance project, you will be working with various internal teams and stakeholders to gather and understand data requirements, driving the implementation of broader data initiatives across the organization. This role will be crucial in ensuring that data solutions align with business objectives and enhance overall data quality and usability.

Responsibilities:

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience and knowledge of Python.
• Proven experience in Data Management such as:
• Metadata
• Data Quality
• Data Discovery and support for enterprise-level data products.
• Good understanding of Financial Data and Data Management best practices.
• Demonstrate understanding of the complex Data Security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including Data Storage and management in relational databases such as:
• Snowflake
• MsSQL
• Oracle PL/SQL
• Familiarity with leading Data Management trends and practices in the Financial Industry, including approaches to Data Quality and business-technology issues related to Data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Good-To-Have:

• Certification in Data Management or Data Quality (e.g., DAMA, CDMP) will be advantageous.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Data & BI Lead to join our ERP Team on a 2-Year Contract basis. This person will report to Technology Director and is a subject matter expert and data champion, with previous experience and accountability of delivering scalable solutions and enterprise data models across business applications, reporting and analytics domains.

This individual will work closely with the Enterprise Architect, BI Analysts, Application and Data owners, taking ownership of the global data design and modelling activities in establishing robust dictionaries, data integration documentation, migration mapping, master and reference data landscapes within the existing architecture and transformational initiatives.

To be successful in this role the candidate will have the required technical experience coupled with appropriate project management experience to drive deliverables of data related projects. Further, the role requires active engagement with and management of 3rd party vendors to deliver projects as well as experience in managing internal stakeholders up to executive management level.

Functions and processes include:

• Data flow governance: Cataloguing of data objects and interfaces
• Master data and reference data modelling
• Data Warehousing and Integration design
• Migration planning and mapping
• Modern BI and Analytics architecture design and delivery
• Data flow accountability and responsible for ensuring data flowing through source systems, ERP and various platforms
• Target data architecture design supported by scalable environments, well-defined artefacts, data and interface catalogues, lineages, procedures, and standards collectively enabling seamless end-to-end orchestration and continuous delivery
• Provide guidance during capturing and translating business processes into physical data models, ensuring a scalable and extensible design is adhered
• In conjunction with business and technology transformation activities, define data platform capabilities aligned with current and future business models
• Oversight of data integration design and delivery initiatives including ingesting, transforming, staging, and consuming large amounts of structured and semi-structured data – both on- premises and on cloud – with knowledge of potential pain points

Key Skills & Qualifications Requirements

• Degree in IT, MIS, Data Science or Certification in Data Architecture / Data Engineering
• At least 8 to 10 years of experience in data architecture or related field
• A broad understanding of data environments, technologies, BI stacks, ETL and data visualization tools e.g. SQL Server, SQL Management Studio, SSRS, SSIS, SSAS, PowerBI, MDM experience
• Experience using and implementing hi-performing global data warehouses, data marts using MS Azure data components e.g. Data Factory, Azure Data Lake
• Proven experience in delivering end-to-end cloud data platform solutions using modern agile methodologies, data pipelines, serverless orchestration and CI/CD development processes
• Handed at least one major data modernizations engagement or been part of data transformation journey within an Enterprise.
• Experience operating with an engineering, agile and DevOps mindset
• Extensive experience of successfully and confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design
• Proven experience in working with, and driving outcomes from vendors for augmenting the Data Capabilities.
• Strong knowledge of data modelling and database and data warehouse design principles.
• Familiarity with data governance and security best practices: Good Understanding of the Enterprise Architecture Concepts and its implementation at the organization level
• Exceptional customer-facing, presentation and influencing skills
• Capacity to train and guide other team members and business teams on best practices data literacy
• Ability to manage and prioritize tasks efficiently
• Excellent third party and stakeholder management
• Ability to manage 3rd party vendors and lead engagement in matrix environment

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Are you looking to work with AI & RPA in a global organization committed to sustainability and innovation?

Don't look further and join Grundfos!

Job purpose:

To strategically lead the AI and automation delivery organization within CBS, driving the ideation, development, and implementation of the global CBS AI and RPA roadmap to enhance operational efficiencies, customer satisfaction, and competitive advantage globally, by operationalizing a new capability center in Singapore.

Key Accountabilities / Responsibilities

• Establish and operationalize a dedicated capability center in India for in-house AI development, and continuously lead and manage a highly motivated team. (20%)
• Establish and facilitate forums to engage and negotiate with senior management across CBS, cross-divisionally, and group functions to define and align AI initiatives and business objectives. (15%)
• Strategically formulate and deploy an AI and automation operating model, involving key stakeholders across CBS and Grundfos to foster innovation with cutting-edge technologies. (15%)
• Define and execute the AI and RPA roadmap to drive operational efficiencies across End to End CBS, and deliver value for One Grundfos. (15%)
• Lead the team to continuously develop processes, capabilities, and ways of working, and head technological progress and development to fulfill the business needs for scaling and technical advancements. (10%)
• Lead the change to ensure stakeholders are committed and actively participate in roadmap implementation, driving a strong collaboration and trust culture across team members and key collaboration partners for ideation, development, delivery, and implementation. (10%)
• Manage a global and diverse team, fostering a culture of innovation in a fast-paced and complex environment. (5%)
• Oversee budgeting and funding activities, ensuring optimal allocation and utilization of resources. (5%)
• Facilitate effective communication towards the CBS Leadership team to approve and prioritize roadmap activities and communicate decisions across the CBS organization. (5%)

Required Minimum Qualifications:

• Proven experience developing and executing key strategic initiatives within a complex business environment; experience working in a global environment is required.
• A Master’s degree in a relevant field is required.
• Knowledgeable of agile methodologies, demonstrating the ability to adapt quickly to change and efficiently deliver projects in a dynamic and iterative development environment.
• Experience developing and implementing operating processes and setting strategic direction for AI and automation initiatives, in a global context.
• Strong leadership in driving AI initiatives across functions, with a high focus on End-2-End impact
• Experience in leading people directly or indirectly.
• Ability to influence and guide teams and stakeholders.
• In-depth knowledge of AI and RPA applications and best practices.
• Expertise in technical RPA and AI solutions in order to set direction.

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas. Some examples of stakeholders you will work with: Sales & Marketing, Product Operations, Customer support, HR and Finance teams
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
• Work in partnership with data-platform to define requirements and standards for data pipelines and transformations, ensuring alignment with broader team requirements.
• Drive optimization and efficiency in all you do and challenge the status quo for the team’s processes'.
• Contribute to the planning & execution of Insights Services growth within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Senior Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have strong business acumen and a business-first approach to problems.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Thrive on uncovering synergies and efficiencies in your work, the work of the team, and beyond.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.
• You are fluent in English.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.

Responsibilities:

• Analyst and evaluate operation need and user requirements across Business Unit and departments
• Manage project planning, solution and ensure the right implementation of IT solution to meet the operational requirements
• Perform statistical analysis, data mining and pattern recognition to uncover trends, correlations, insights and create clear visualizations
• Project development to improve operational productivity & efficiency by adopting digital transformation tools
• Partner with stakeholders to define data requirements and collect the relevant date
• Provide well-structured data for further analysis

Requirements:

• Degree in Information Technology, Computer Science or a related field
• At least 2 years of relevant experience in Digital Transformation, implementation of IT solutions.
• Possessing strong knowledge in various digital transformation knowledge & automation tools, such Microsoft Power Platform, SharePoint, PowerBI, MS SQL, Knime, Python, cloud platforms
• Strong communication and good interpersonal skills
• Highly motivated individual who works independently with little supervision

To apply, please visit www.gmprecruit.com and search for Job Reference: 25041
To learn more about this opportunity, please contact Yingying at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

If you're equally passionate about nurturing talent and building cutting-edge data platforms, you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data.

As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes.

What you’ll be doing (Role responsibilities)

Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

• Engineering teams across the company that produce or consume data that need to be combined with other data sources, and
• Data analysts and scientists working on stream-aligned projects across the company

As a Data Engineering Manager, you will:

• Be a people-manager for a team of data engineers and analytics engineers, including
  • Coaching your team members in executing their tasks
  • Clearing technical and organizational blockers for them, and
  • Mentoring them on their own career goals and skill development
• Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running.

As a senior team member in the Data Engineering Team, you will:

• Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data
• Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making
• Liaise with our internal customers to understand their needs and convert them to technical requirements
• Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers
• Provide tools, training, and coordination to stakeholders across the organization

Role requirements

We seek candidates with most, or at least some, of the following skills and experience:

• 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans.
• Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses.
• Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI.
• Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS.
• Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Some nice-to-haves are:

• Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently.
• Experience in infrastructure-as-code tools like Terraform.
• Understanding of data privacy and security and how they are implemented in engineering systems.

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling

Key Responsibilities:

• Design and implement algorithms to process and analyze large-scale datasets.
• Build, fine-tune, and optimize large-scale models using frameworks such as LoRA (Low-Rank Adaptation) and DeepSpeed.
• Collaborate with cross-functional teams to integrate AI workflows using AIFlow.
• Develop and optimize data pipelines and workflows using Apache Spark.
• Write and execute complex SQL queries to analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) and create insightful visualizations.
• Develop and maintain Python-based scripts and applications for data processing and automation.
• Work with large-scale datasets to ensure data quality and integrity.
• Document processes and findings to support informed decision-making.

Requirements :

• Knowledge or academic experience with algorithms and their implementation.
• Hands-on experience with frameworks such as LoRA, DeepSpeed, or similar AI tools (academic or project-based experience is acceptable).
• Familiarity with Spark and distributed data processing techniques.
• Proficiency in SQL for data analysis and querying.
• Programming skills in Python, with a focus on data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of handling large data volumes and related optimization techniques.
• Exposure to data visualization tools like Tableau, Power BI, or Matplotlib.
• Basic knowledge of machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with data versioning tools and workflow orchestration frameworks.
• Strong analytical thinking and problem-solving abilities.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

• Design and implement methods, processes, and systems to aggregate and analyze diverse, unstructured data, providing actionable insights for management.
• Develop software programs, algorithms, and automation tools to clean, integrate, and analyze large datasets from multiple sources.
• Work closely with business experts to enhance data and uncover valuable insights to create practical solutions.
• Automate repetitive data tasks to streamline processes and minimize manual work.
• Create clear and effective data visualizations to communicate findings and recommendations to stakeholders.
• Stay informed on the latest developments and best practices in data science, machine learning, and AI.
• Assist the Global IFF Business Control team with various tasks and project requirements.
• Support administrative duties and handle ad-hoc tasks assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

This role is 1-year contract role (till 31 Dec 2025).

Job Responsibilities:

• Perform administrative duties including data entry, filing, and retrieving of files.
• Letters preparation, checking on letters and documents.
• Scanning and indexing documents
• Sorting & dispatch of documents
• Creation of records and Input of security documents information in system
• Comply with the Company’s and/ or customer’s Workplace Safety and Health (WSH) requirement, guidelines, and relevant codes of practices.
• Other ad-hoc administrative duties as assigned by Superior.

Job Requirement:

• At least Diploma in any field.
• Minimum 1 year working experience in an office and or data entry working environment.
• Candidates without relevant experience may be considered based on merit.
• Basic computer knowledge and skill, preferable knowledge in Microsoft office (excel and/ or word)
• Must be able to communicate in English.
• Good attitude, willing to learn and able to follow instructions.
• Able to perform overtime work as and when required.
• Working Location: Jurong East or Changi Business Park. (This role will be deploying to Customer's premises)

Want to be a part of the fastest growing startup to help make a difference in our environment? Cedars Digital is looking for a Data Scientist (AI) to be part of our growth!

We are a passionate team that is excited about building carbon management solutions & the potential to disrupt with the latest AI technologies. We are looking for like-minded individuals to join our Engineering team - if you have the passion in creating an impact and/or are keen in the space of environmental sustainability, we want you!

Here is what you are expecting to be doing:

• AI solution development and strategy implementation for improving the process of laborious operations including but not limited to ESG consultant operation time.
• Conduct research and POC to stay up-to-date with the latest advancements in AI and integrate new techniques into projects.
• Design and optimize chatbot systems with LLM and prompt engineering for the efficiency of internal business processes.
• Develop and enhance recommendation systems to provide carbon factors.
• Collaborate effectively with AI/ML engineers, PM and others to deliver high-quality AI solutions.
• Ensuring reproducibility, scalability, and reliability of ML models.
• Experiencing a wide range of end-to-end ML development life cycle, including framing AI problems, data collection/preprocess/exploration, model development/evaluation.
• Learn state-of-the-art AI techniques and skills to efficiently conduct POC.

Skills that will help you in this role:

• MS in Math, Stats, CS or Engineering related fields.
• 2-5+ years of experience in AI development, with a proven track record of successful projects.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Experienced in Deep Learning Framework (Pytorch or Tensorflow), Machine Learning and open-source platform e.g. ONNX, Hugging Face.
• Deep knowledge of ML/AI algorithms and their limitations and applications.
• Strong communication and teamwork skills with a collaborative approach to deliver.
• Programming skills in Python and experience with version control systems like Git.
• Solid experience in developing and fine-tuning models.
• Bonus, but not a must: Familiarity with Natural language processing (NLP) and Computer vision domain. Familiarity with docker/K8s and cloud service e.g. GCP, Azure and Amazon. Ability to build testing environment for POC

Why join Cedars Digital?

Come onboard this journey of transformation. Cedars Digital’s exclusively developed AI carbon emission calculation system involves the integration of AI algorithms and big data analysis. Through this, we aim to help enterprises complete greenhouse gas inventories and product carbon footprint calculations. We have big dreams as we want to be able to help them adapt to global carbon policies and enhance their sustainable competitiveness. Working with a vibrant and closely knitted team like ours provides you an environment to discover and develop your potential. With many learning opportunities, you get the chance to further your own personal and career development with us.

The Routing Data Analyst will support the Global Carrier Network Operations function

through the analysis of data and trends about quality, cost, and client traffic behaviour of our

SMS and Voice Products. This key-role will help the Vonage API platform, to onboard

customers’ traffic, optimise Cost or Quality, and a fine balance between the two.

You will

● Own part of the Routing table for the Global Carrier Network team (Use/Create insights

from available data, Analyse data for decision making) with focus on Quality and Cost.

● Perform complex analysis: type of traffic, Cost VS Quality, Price.

● Resolve Quality Alerts to maintain QoS according to given industry standards.

● Manipulate and transform the routing table’s selections for optimising Cost or Quality for

new and existing customers for a set of regional countries.

● Identify solutions/improvements of our internal tools and work with key stakeholders

(Product/Engineering) to eliminate blockers of day-to-day tasks.

● Provide Data analysis for other function stakeholders (Product, Engineering, Sales etc) to

support cross-functional needs.

● Perform operational day-2-day tasks and work towards continuous maintenance of the

service levels specified for our SMS of Voice termination SLOs with internal and external

stakeholders.

Essential for the Role (Must Have)

● Educated to degree level.

● At least 2-3 Years of experience on Cost/Price or Voice and SMS routing or Tech

Support position.

● Proficient in MS Office/Google equivalent data analysis Tools.

● Exposure to Business Intelligence tools (e.g. PowerBI, Tableau etc) or similar.

● Strong analytical skills.

● Ability and willingness to work in a global, fast-paced environment.

● Flexible with the ability to adapt working style to meet objectives.

● Excellent communication and analytical skills.

Nice to have for the Role:

● Project Management experience

● Telecommunications industry exposure.

● API and Cloud communications Industry exposure.

● Confluence JIRA tool

● Zendesk ticketing system.

Note: The role requires working 1-2 weekends or bank holidays per calendar month.

We are looking for a Data Control engineer with experience in Data management, Good knowledge in writing queries to extract the data, automate the report generation through reporting tools .

Requirements:

1.Understand the data requirements from various departments

2.Extract data from database by writing queries and share the reports with the stakeholders

3.Automate the frequently used data reports using the Reporting tool and provision the secured access to stake holder on the reports

4.Manage Database backup and restore

5.Ensure data security

6.Capacity planning and Database finetuning from time to time to increase DB performance

Roles:

• To perform daily backup monitoring and take action to have recovery solution in place.
• To Manage the database availability and performance, including incident and problem management.
• To work with Major Incident Management (MIM) team to resolve and co-ordinate high critical issues.
• To carry out periodical production patch and upgrade management.
• To work closely with users and vendors to take timely and appropriate steps to resolve and troubleshoot issues impacting service levels.
• To Identify opportunities for process improvements, automation, and efficiency gains in database operations.
• To Implement best practices and innovative solutions to enhance system reliability and performance.

Preferred Qualifications:

• Diploma/Degree in Computer Science or Engineering equivalent.
• At least 2-4 years of relevant working experience as a Database Administrator or relavant engineering experience within similar capacity operations.
• Must have familiarity with at least 2 database SAP tools,SQL, ...
• Experience in 24x7 support for critical production systems, scheduled maintenance, and release deployment activities.
• Excellent problem solving skills.
• Good Software application experience.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Responsibilities:

Responsible for supporting the operation and maintenance of the M&E Services (e.g power, cooling, space and asset inventory) within the Data Center in a 24/7 mission critical environment for two sites.

• Provide leadership and guidance to teams and responsible for the performance of the team and delivery of Service Level Agreement
• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability.
• Maintaining M&E Services infrastructure and coordinating with vendors.
• Manage and plan for MEP preventive, corrective, and predictive maintenance.
• Manage and plan for annual shutdown.
• Manage expenses and P&L.
• Prepare monthly reports and conducts meetings
• Manage contractors and projects.
• Manage client enquiries and requests.
• To obtain and maintain management system certifications, including but not limited ISO 9001 Quality Management Systems, ISO 14001 Environmental Management Systems, ISO 27001 Information Security Management, ISO 45001 Occupational Health and Safety Management Systems and bizSAFE Star certification within 2 years from Commencement Date.
• To review and approve maintenance master plan for planned preventive maintenance, cyclical parts replacement, major maintenance and overhaul works.
• To act as the 2nd level of escalation for ensuring that Employer's call for attendance to Incident is answered within the duration stipulated.
• To review, approve and submit Incident report with root cause analysis as stipulated under Schedule 8 within the duration stipulated.
• To review the quality of documentation submitted for raising Request For Change.
• To review, approve and submit quotations for corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• To review turnaround time and quality of corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• Perform any other adhoc duties.

Requirements:

• Minimum 8 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System.
• Good customer management and communication skills.
• Responsible and accountable for profit and loss of the sites.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Plans and tracks preventive maintenance plan, cyclical maintenance plan and other related events closely.
• Analytical and problem-solving skills.
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting.
• Proficient in Microsoft Office.

About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

This position will be responsible for working with large and disparate data sets, internal and external, quantitative, and qualitative, structured and unstructured to support the management of data across the entire data lifecycle. This role requires a combination of technical expertise, leadership skills and strong focus on data governance practices to ensure the successful delivery of the Data Product Roadmap.

The data engineer brings expert understanding of data and modern data processing technologies to prepare and deliver data assets which support high priority projects.

This position is a part of theData Product Team, which is responsible to delivering on the prioritised T&S Data roadmap to meet strategic objectives. aligned to the Trading & Shipping organisation.

Key responsibilities

• Working with the key stakeholders to define data requirements for projects

• Perform data acquisition/ingestion from internal and external sources, including both structured and unstructured data sources (incl. multi-dimension data, text/documents, geospatial data and graph)

• Performing descriptive analytics and data visualisation to share data insights or validate data with stakeholders. Prepare data quality reports

• Develop data transformations and modelling to prepare data sets for consumption for various end uses including reporting or advanced analytics.

• Develop and maintain productionised data outputs/products to support ongoing uses

• Working in a highly agile and flexible environment to deliver outputs in short time frames

• Document technical specifications of data pipelines and technical products delivered

• Develop working understanding of Ampol systems, data, and uses, as a data SME

• Data Strategy and Planning- Continuously develop and enhance Ampol data strategy and architecture and roadmap to ensure alignment to business requirements and overall company vision.

• Data Exploration and Analysis- Explore data to identify patterns, trends and insights. Perform quantitative and qualitative analysis to answer specific business questions and to gain a deeper understanding of data.

• Data Pipeline Development- Build and maintain data pipelines to move and transform data from various sources into Snowflake with assurance that data ingestion is reliable, scalable and optimized for performance.

• Data Modelling and Design- With requirements from business, design and implement data models within Snowflake, including schema design, table structures and data partitioning to support high performance, low latency querying and analytics.

• Data Quality and Integrity- Enforce data quality checks and validation during data ingestion process to ensure accuracy and integrity of data in Snowflake.

• Support Continuous Improvement in Data Product- Support the Commercial Analytics in advancing continuous improvement in the data space, including team engagement to generate awareness of initiatives and track progress.

• Monitoring and Maintenance- Proactively monitor data pipelines and the overall health of Snowflake data infrastructure to identify and resolve issues.

• Automation and Orchestration- Automate data workflows and orchestrate data processes to minimize manual intervention and improve operational efficiency.

• Collaboration with Data Users- Work closely with data analysts, data engineers, and business users to understand their data requirements and provide necessary data support.

Capabilities

• Big Data Engineering – familiarity in designing and developing data processes on cloud based big data platforms

• Data Quality – experience in managing data quality controls to support the completeness and accuracy of data

• Strong understanding of data structures and designing conceptual, logical and physical data models

• Understanding of Information Management, Data Governance, Data Security and Privacy concepts (covered by respective Ampol policies)

Qualifications & experience

• Tertiary qualifications in Computer Science or similar.

• Qualifications or experience in mathematics or statistics highly regarded

• 2+ years of industry experience working as a data engineer to develop data products using SQL, Python, and Spark

• Data modelling experience including ETL

• Data quality management

• Experience with a range of Data platforms (Hadoop, Spark, SQL Databases)

• Experience performing descriptive analytics and developing data visualisation (Power BI, Tableau, Shiny, etc)

• Experience working to support advanced analytics products is desirable

Skills & Knowledge

• Expertise in SQL, Python, and Spark

• Experience with Snowflake (3–7 years) and data pipeline management

• Proficiency in data modeling, relational databases, and query optimization

• Strong understanding of git flow and version control systems

• Knowledge of data governance and data quality principles

• Effective communication and ability to collaborate with cross-functional teams

• Tertiary qualification in Data Analytics or related field

• Strong problem-solving skills and ability to deliver valuable data insights

• Ability to adapt to changing priorities and learn new technologies quickly

• Experience in downstream oil or petroleum trading (desirable)

• Familiarity with advanced analytics, machine learning, and big data technologies

• Working knowledge of Docker, Kubernetes, and noSQL technologies

• Self-motivated with a focus on continuous improvement and innovation

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

Want to take your career to the next level? Apply today.