As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce.

Salary structure: Base + bonus. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

• Collaborate with multiple product domains to understand their challenges and goals in ranking and recommendation systems
• Translate customer needs and business goals into technical requirements and ML services
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

skills and requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• Min 4 years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
• Recommendation algorithms (collaborative filtering, content-based filtering, deep learning for recommendations)
• Ranking algorithms and metrics
• Experimentation
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

The role of Business Development Manager in the Data Services Unit plays a crucial role in driving growth, expanding market presence, and ensuring that data services remain competitive and innovative.

Key Responsibilities:

Sales and Revenue Growth:

• Develop and implement business development strategies, sales strategies and pricing strategies to achieve revenue targets.
• Identify and pursue new market and business opportunities within the market data sector.

Client Acquisition:

• Identify and target potential clients in the financial services industry.
• Build and maintain relationships with key decision-makers and stakeholders.

Partnership Development:

• Establish and manage strategic partnerships with other financial institutions, technology providers, and data vendors.
• Negotiate and finalize partnership agreements

Market Research:

• Conduct thorough market research to understand industry trends, competitor activities, and customer needs.
• Use insights to inform business development plans and product innovation.

Reporting and Forecasting:

• Prepare regular reports on business development activities, sales performance, and market trends.
• Analyze data to measure the effectiveness of business development strategies and make adjustments as needed.

Skills and Qualifications:

• Experience: Proven experience in business development, preferably in the financial services or market data industry.
• Networking: Strong networking and relationship-building skills.
• Negotiation: Strong negotiation and deal-closing abilities.
• Communication: Excellent verbal and written communication skills.
• Analytical Skills: Ability to analyze data and trends to inform strategic decisions.

Job Description:

• Maintain accurate records of all inbound and outbound deliveries within the warehouse and data center environment.
• Conduct routine inventory audits to ensure warehouse stock levels align with control requirements.
• Manage the movement and organization of equipment and materials using pallet jacks or other assisted lifting tools.
• Operate within a ticket-based system to manage and prioritize warehouse and logistics tasks.
• Oversee the secure handling and disposal of materials, including data-bearing devices (e.g., hard drives, solid-state drives), according to standard procedures.
• Perform material movement and tracking activities, including shipping, receiving, and managing inventory across the warehouse.
• Carry out shift-based tasks such as managing ticket queues, resolving escalations, and clearing issues to enable efficient logistics and inventory activities in line with company policies and service level agreements (SLAs).
• Flexibility to work outside standard business hours, including weekends and holidays as needed.

Requirements:

• Diploma / Degree in Logistics, Supply Chain Management, IT, or equivalent.
• At least 2 years of experience in Logistics, Warehouse Operations, or Inventory Management, for Data Centers.
• WSQ Manage Work at Height Course
• Ability to handle standing, walking, lifting, and working at heights, with or without equipment assistance.
• Effective communication skills with proficiency in both written and spoken English, for collaborating with regional and global teams.

Job Overview:

The Senior Associate Data Scientist will support the Process Development (PD) group at the Drug Substance Manufacturing Facility in Singapore, with the following responsibilities:

Responsibilities:

• Support the design and development of data pipelines to extract, transform, and load data for digital technology transfer solutions.
• Support digital systems and applications (e.g., Spotfire visualizations, R-Shiny applications, databricks infrastructure, Product Lifecycle Management) to provide insights through the integration of multiple data sources.
• Build automated dashboards and visualizations for Continued Process Verification.
• Collaborate with representatives from other functions and sites to support process investigation and improvement.
• Organize and conduct meetings; actively generate and present data/conclusions at internal team and cross-functional meetings.
• Analyze process data using tools such as Excel, Minitab, JMP, and SIMCA.
• Verify data in technical reports, spreadsheets, and regulatory filings.
• Author technical protocols or reports for experimental studies; conduct technical and product impact assessments for commercial support of deviations/change controls.

Basic Qualifications:

• Master’s Degree and 1+ year of directly related experience OR
• Bachelor’s Degree and 2+ years of directly related experience.

Relevant Experience:

• Relevant work experience in the commercial manufacturing environment within the biotechnology or pharmaceutical industries.
• Experience in regulated environments (e.g., cGMP) is required.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Your Role and Responsibilities :

• The overarching responsibility for the solution representative is to deliver project excellence end to end for the account and grow revenue and increase market share across all parts of Public Sector with a focus on driving the Digital and Data Analytics Agenda.
• Builds relationships with senior client executives, earning a reputation as one of the client's trusted business advisors.
• Skilled in consultative selling, with a deep understanding of the client's industry, business needs and related IBM capabilities.
• Understands and navigates IBM to identify, acquire and coordinate a team of critical resources needed to address client needs.
• Develops and executes a relationship plan to address both IT and Line-of-Business
• Integrates IBM in front of the customer providing one face, one IBM strategy for the client.
• Understands IBM business and strategies and how these translate into solutions which address client needs.
• Deep understanding in the Singapore Public Sector, including industry trends, industry business processes, industry financial measurements and performance indicators, and key client competitors in their industry. Leads the development of the overall account plan and has primary responsibility for identifying and prioritizing opportunities and developing client-valued solutions involving multiple brands and elements.
• Possess strong industry knowledge in Singapore Public Sector and bring industry based thought leadership to clients
• Collaborate with IBM's Public Sector thought leaders, executive and specialists to bring strong, provocative value propositions to key clients

Required Professional and Technical Expertise :

• Experience in proposal development during the engagement phase is required
• Candidates from a similar role with Digital Transformation, Data & AI experience
• Understand the Singapore Public Sector and what issues/challenges are facing Public Sector providers
• Ability to build executive relationships with C-Suite and executives across client organizations
• Must understand the breadth of IBM's capabilities and offerings to bring the right solutions to your clients
• Needs to have demonstrated communication skills - can create compelling value propositions for your customers and can coordinate IBM team to deliver what your customers need.
• Experience and results in strategic initiatives (with an understanding of cloud, mobility, security, cognitive..)

Preferred Professional and Technical Expertise :

• Build executive relationships
• Lead cross functional teams to deliver solutions

Regional Data Privacy Officer – Asia (VP Level)

Industry: Financial Services

Remit: Asia Pacific

Location: Singapore

Ideal profile: 8-10+ years of relevant experience in data privacy

As the Regional Data Privacy Officer for Asia, you will play a vital role in ensuring compliance with local data privacy laws and alignment with group-wide policies. In this VP-level position, you will be responsible for establishing, implementing, and monitoring data privacy practices and policies, acting as the primary contact for privacy-related matters in Asia.

Key Accountabilities:

• Ensure that company policies comply with local data privacy laws and group policies.
• Serve as the primary point of contact for data privacy issues.
• Develop and update data privacy policies, guidelines, and procedures, consulting with relevant stakeholders.
• Lead and/or participate in responses to data privacy incidents.
• Conduct data privacy self-assessments to identify gaps and implement remediation actions.
• Oversee the data privacy impact lifecycle, including cross-border data transfers.
• Design and implement training programs for staff involved in data handling and processing.
• Foster a culture of data privacy and compliance across the organization.

Experience & Qualifications:

• 8-10 years of experience in data privacy and protection, specifically within financial services.
• Proven experience operationalizing data privacy initiatives.
• Strong knowledge of local data privacy laws across multiple jurisdictions, such as PDPA, PDPL, PIPL, and Personal Data Ordinance.
• Background in legal, audit, or risk management is a plus.
• Professional certification in data privacy (e.g., CIPP/A/E, CIPM, CIPT) is preferred.
• Excellent verbal and written communication skills, with a strong attention to detail.

Compensation

Salary Competitive, depending on experience

SLOANE SHOREY

Risk | Compliance | Intelligence | Investigations

www.sloaneshorey.com

We partner with leading organisations to attract and retain highly skilled professionals in compliance, risk, intelligence and investigations.

Our clients include tier-1 corporations from Asia, Europe, and the US, as well as global law firms and specialist consultancies, operating across sectors including aerospace & defense, aviation, banking & financial services, data centres, engineering, manufacturing, and technology.

Established in Singapore in 2017, we execute assignments across Asia and beyond.

Sloane Shorey is a Ministry of Manpower Licensed Employment Agency: EA License 20S0307

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2600-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Position: Sales Interior Designer
• Bendemeer
• WFH basis, Report to office once a week
• Basic $1500 + commission, Gross up to $4000 - $7000

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Requirements:

• Diploma in Interior Design
• Minimum 1 years of experience as a Sales Interior Designer
• Entry level are welcomed
• Strong understanding of design principles, space planning, and 3D visualisation software
• Familiar with software – Autocad / 3D Max / Sketch Up / Microsoft Office

Job scope:

• Provide expert interior design consultations and presentations to prospective clients
• Collaborate with clients to understand their design requirements and translate them into innovative and functional interior solutions
• Develop detailed design concepts, mood boards, and 3D visualisations to bring clients' visions to life
• Manage the end-to-end project lifecycle, from initial client meetings to final installations
• Work closely with the project management team to ensure timely and successful project delivery
• Attend site visits and liaise with contractors to oversee the implementation of design plans
• Stay up-to-date with the latest interior design trends, materials, and industry best practices

Job Description & Requirements

Responsibilities:

1. Responsible for maintaining our machine learning framework
2. Responsible for the cleaning, processing and analysis of both unstructured and structured texts in the FinTech area
3. Participate in the development and upgrade of our machine learning and data mining algorithms

Requirements:

1. Degree in Computer Science or similar field
2. 1+ years experience in data processing, data analytics or data visualization
3. Proficient in Python programming language
4. Familiar with data analytics libraries like NumPy and Pandas
5. Experience with relational databases (e.g. MySQL) and key-value databases (e.g. Redis)
6. Experience in RESTFul API service development and familiarity with HTTP / TCP
7. Familiarity with Container techniques including Docker and Kubernetes is preferred
8. Strong communication skills in Chinese and English to communicate with associates

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9917

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Salary: $2,980

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

https://go.persolkelly.com/job/apply/9917

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are seeking a highly skilled and experienced ETL Integration Lead to join our dynamic team. The ideal candidate will have a strong background in data governance, ETL engineering, PySpark, and Alation. As an ETL Integration Lead, you will be responsible for leading the design, development, and implementation of ETL processes and data integration solutions to support our data analytics and business intelligence initiatives.

Key Responsibilities:

• Lead the design, development, and implementation of ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
• Ensure data quality, integrity, and consistency through robust data governance practices.
• Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver effective data integration solutions.
• Develop and maintain ETL pipelines using PySpark and other relevant technologies.
• Utilize Alation for data cataloging, metadata management, and data lineage tracking.
• Monitor and optimize ETL processes for performance, scalability, and reliability.
• Troubleshoot and resolve data integration issues in a timely manner.
• Mentor and guide junior ETL engineers and provide technical leadership to the team.
• Stay up-to-date with the latest trends and best practices in ETL engineering, data governance, and data integration technologies.

Key Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
• Proven experience as an ETL Integration Lead or similar role.
• Strong expertise in ETL engineering and data integration techniques.
• Proficiency in PySpark and experience with other ETL tools and frameworks.
• In-depth knowledge of data governance principles and best practices.
• Experience with Alation or similar data cataloging and metadata management tools.
• Strong SQL skills and experience with relational databases and data warehousing solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications:

• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Certification in data governance, ETL engineering, or related areas.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Familiarity with data visualization tools like Tableau or Power BI.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines

Responsibilities:

• Oversee mission-critical data center operations, ensuring reliability and seamless service delivery within a healthcare-focused environment.
• Manage infrastructure performance, monitor network and server operations, and address data center incidents promptly to meet strict healthcare SLAs.
• Coordinate closely with healthcare clients, acting as the primary point of contact for infrastructure support and escalation management.
• Lead a team of network, server, and on-site engineers, focusing on optimizing operational efficiency and maintaining service continuity.
• Develop, maintain, and enforce Standard Operating Procedures (SOPs), ensuring compliance with healthcare-specific data security and safety protocols.
• Oversee vendor management and collaborate with IT and infrastructure teams to resolve any technical or service-related issues.
• Conduct regular incident reporting, trend analysis, and preventive measures to pre-emptively mitigate risks and support high service standards.
• Manage backup and recovery operations, leveraging tools such as Veritas NetBackup and Symantec to ensure data integrity and continuity.

Requirements:

• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• At least 8 years of experience in data center or critical infrastructure management, with specific experience in a healthcare setting.
• ITIL Foundation Certification is mandatory.
• In-depth knowledge of healthcare industry requirements and data security standards.
• Proficiency in monitoring tools (e.g., SolarWinds, Tivoli) and backup solutions (e.g., Veritas NetBackup).
• Proven leadership skills with experience in managing SLAs, resolving escalations, and maintaining client relationships in high-stakes environments.
• Excellent problem-solving abilities, with a proactive approach to ensuring operational stability and reliability.

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across our various business lines, and get to work with the brightest minds in the industry. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

• Collaborate with multiple marketing domains to understand their challenges and goals in optimizing marketing spend to get maximum return
• Translate business problem to data science problem or ML problem
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• 5 or more years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
  Experimentation
  Marketing Measurement
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LightGBM, CatBoost, etc) and OR libraries (OR-Tools, etc).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.
• Proactive, self-motivated, and able to work independently.
• Experience in implementing MMM, MTA, Propensity Models, CLV etc are plus
• Candidates with knowledge on digital marketing channels like SEM and GHA will be given higher preference

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

The Opportunity

The Principal Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As the Principal Data Engineer in our Singapore office, you will have the unique opportunity to help us build a data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take a leadership role in establishing and growing a local team in Singapore.

Job Responsibilities:

• Assist the Sr. Manager of Data Management & Operations in shaping both short- and long-term data strategy at a global level.
• Take ownership of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS) from design to implementation to maintenance
• Assist in the maintenance of an existing on-prem data infrastructure (SSIS/SQL Server) while we complete our migration to the cloud
• Design, architect, and lead the implementation of ETL/ELT pipelines, data schemas/models, and data marts for business users.
• Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.
• Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.
• Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.
• Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.
• Provide leadership, guidance, and oversight to data engineers.

Requirements:
• Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.
• 8+ years of experience in data engineering, with 3+ years of experience as a senior/lead data engineer
• 3+ year of experience with Agile/DevOps tools (Git, Jira).
• 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).
• Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.
• Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)
• Previous leadership experience as a senior engineer or project lead, with the ability to hire and lead a small team of 1-4 junior/senior data engineers.
• Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.
• Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills
• Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.
• Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.
• Background in the shipping/maritime or chemicals industry.
• Previous managerial experience as a manager.
• Experience with PowerBI and Plotly.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Cloud Engineer (Azure)

Responsibilities:

• Develop cloud infrastructure solutions which includes multi/hybrid cloud design and implementation.
• Manage teams in implementing cloud-native frameworks for enterprise infrastructure.
• Develop and implement best-in-class processes, metrics and practices.
• Design, operations, and support of private/public/hybrid cloud infrastructure including Security.
• Perform daily performance monitoring, analysis and maintenance.
• Ensuring the proposed cloud architectures and solutions are exhibit scalability, maintainability, performance, and security and compliant with client's standards.
• Provide needed technical and operation documentation.

Requirements:

• 6 years of experience in a technical role in the industry or equivalent experience.
• Deep technical expertise on Azure services and products.
• Experience in cloud-based deployment and management in IaaS, PaaS and SaaS environments.
• Experience in Azure, Cloud infra Security Experience and data security.
• Certified in Azure is desired.
• Experience in GCC and Cloud Native DevOps needed.
• Experience in implementing SHIP & HATS
• Advance scripting / coding skills for IaC (Terraform / Ansible) desirable.

This position is only open to candidates that is currently residing in Singapore. We regret to inform that only shortlisted candidates will be contacted.

Responsibilities:

• You will be part of the project team to assist clients in the Built Environment industry to embark on their digital transformation journey. You will be instrumental in:
• Working with stakeholders which includes client teams, industry practitioners, technology providers and research institutions to adopt latest digital technology and develop solutions to support the built environment;
• Evaluate the feasibility of the various new and emerging methodologies and technologies;
• Assist in the formulation, testing and providing recommendation to various aspects of digital transformation in project, organisation and industry-wide implementation.
• Strong familiarity and knowledge of Singapore Authorities’ regulations for buildings
• Strong familiarity with Opendata format such as Industry Foundation Classes (IFC)
• Experience of solving the technical problems faced by the project team and the problems related to the operation of the project
• Experience of guiding the project team to perform the necessary quality control tests of the created or received BIM models; Experience of checking the delivery and receipt of digital models and the coordination process with the relevant people; Strong familiarity and Knowledge of architectural and construction management practices

Requirements:

• A bachelor’s degree in architecture, Engineering, Construction Management, or a related field is generally preferred.
• Advanced degrees or certifications in BIM, project management, or related fields can enhance prospects (e.g., LEED, PMP, or specific BIM certifications).
• 7+ years of experience in BIM management or related positions, demonstrating leadership in large-scale projects.
• Extensive experience in developing BIM execution plans, setting up project standards, and ensuring compliance with industry best practices.
• Proven experience in leading BIM implementation on projects, managing BIM workflows, and collaborating with multidisciplinary teams.
• Experience in leading modelling efforts, mentoring junior modellers, and overseeing quality control of models produced by the team
• Strong interpersonal skills to facilitate collaboration between architects, engineers, contractors, and other stakeholders.
• Advanced proficiency in BIM software and tools (e.g., Autodesk Revit, Navisworks, Civil 3D, BIM 360).
• Understanding of modeling techniques, data management, and visualization tools.
• Knowledge of building codes, regulations, and standards relevant to the construction industry.
• Collating and reconciling data and information from various sources to ensure completeness and accuracy
• Good command of spoken and written English
• A keen interest in digital technology will have an added advantage.