Total 4,034 data entry job vacancies in Information Technology category in Singapore

Our client, financial institution with large Data team in Singapore is looking to hire Collibra Data Quality (CDQ) Specialist (expert in establishing DQ rules/writing SQL queries in CDQ)

Scope of work:

• Identification of Data Quality rules required from the business – hands-on and able to hit the ground running
• Configuration of DQ rules in CDQ – working with a Collibra Solution Architect and the business.
• Implementation of CDQ

Experience required:

• Extensive experience working with Data Quality
• Good experience in data modelling, metadata, data governance
• Excellent Comms - critical to be able to explain the methodical approach to creating a complex rule in CDQ and explain the issue resolution process.
• Carrying out testing to ensure quality of data

Interested candidates please email your latest resume to [email protected]

Data Scientist is responsible to gather and scrutinise data using specialist tools to generate information that helps others make decisions, by responding to questions about data and look for trends, patterns and anomalies within it.

Job Responsibilities:

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Create predictive, prescriptive and/or explanatory models
• Generate actionable insights for business improvements
• Research and understand the latest technologies to define new process improvement opportunities

Job Requirements:

• Master's degree in Computer Science/ Information Technology or equivalent
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Proficient in a programming language (Python, Java, SQL)
• Experience/Knowledge in Operation Research (OR) is would be an advantage
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Additional experience in data visualization and/or knowledge of reinforcement learning is a plus

Overview

As part of Pfizer's Marketing Transformation initiative, Publicis has created a bespoke global operation within the Publicis Groupe network with the single-minded mission to accelerate Pfizer's goal of revolutionizing how Pharma connects and engages with Healthcare Professionals, patients, caregivers, payers and consumers - with an ambition of being viewed as a global marketing leader, not just in pharma.

Publicis Groupe is creating Integrated Agency Teams (IATs) - across brands and geographies - by drawing from the best talent across the Groupe to deliver cutting-edge expertise and diverse skills, acting as one integrated, end-to-end operational model to serve advertising, marketing production, digital experience, media/omnichannel engagement, data Intelligence, analytics, web, and social commerce - all supported by the scientific rigor pharma needs to deliver personalization at scale in a compliant manner.

Pfizer is pioneering the marketing model of the future, and Publicis Groupe recognizes that our success is intertwined with the success of Pfizer's transformation and the growth of their brands.

Opportunity

The IAT Data Lead for Asia plays a critical role in helping lead the marketing transformation initiative within Pfizer. This individual understands that marketing today, is largely driven by technology and data. And in healthcare, providers and patients are relying on technology more than ever, which allows new and different connection points for businesses; The best marketing is high-touch and high-tech.

The IAT Data lead will design Pfizer’s data strategy and deliver innovate new ways to connect with patients and healthcare providers across Southeast Asia and India.

Key Responsibilities

· Collaborates effectively with both client and internal teams across Southeast Asia and India to identify specific client needs, business outcomes, and priorities that can be achieved or supported by data-driven marketing products and services developed by the data, tech and tools team.

· Converts the desired business outcomes and priorities into high potential use cases for increased data maturity, crafting client-facing proposals for use case implementation, including scope, feasibility, dependencies, and roadmaps.

· Operates as a 'data translator' - liaising with non-data experts in the wider teams to connect their priority outcomes to the art of the possible, in a way that enables client understanding of the value add from data, tech and tools.

· Develops an expert understanding of the current and potential future state of client's data, tech & tools landscape, to understand both opportunity areas and obstacles that need to be overcome.

· Incorporates outcomes from ex-Asia data, tech and tools market readiness assessments (that give a snapshot of current 1st and zero party data maturity, availability, and connections to 2nd and 3rd party sources, martech setup, audience segmentation, channel preferences, and local pharmaceutical market regulations) into locally relevant use case definition to maximize feasibility and scaling across the region.

· Adopts a cross-functional approach to data strategy that considers the omnichannel customer journey, experience mapping, and optimization, the role of paid, earned and owned media insights in developing customer understanding and segmentation, strategies for capture and enrichment of customer data, taxonomy strategy, and developing marketing effectiveness frameworks that link marketing activity to commercial outcomes.

Skills & Experience

· Must Have

o 10+ years working in a data strategy capacity or similar field where data-driven decision-making is core to the role.

o Demonstrable experience of turning analysis and observations into actionable insights that deliver value to the business, especially in the areas of audience targeting, message sequencing, communication effectiveness, brand and campaign measurement plans, and real-time campaign optimizations.

o Ability to explain technical concepts to a non-technical audience, to simplify complexity, and to explain insights in a broader strategic context.

o Experience in planning and delivering data-driven strategies and understanding how they will affect the client's business.

o Awareness and knowledge of the evolving martech landscape for analytics, CRM, personalization, and media, including understanding of the relative pros & cons of solutions from different providers.

o Ability to lead data partnerships with media & data vendors that are critical to driving business growth, particularly in emerging markets where digital roadmaps are still in infancy stage.

o Skilled in cross-team collaboration with multiple internal and client-facing departments, leveraging cultural fluency to connect with Southeast Asia and India-based and ex-Asia stakeholders.

· Good-to-have:

o Experience within a pharmaceutical marketing discipline & familiarity with the pharma regulatory environment in Southeast Asia and India.

o Experience using Tableau or Microsoft Power BI to visualize data insights in a clear and actionable way.

o Experience using JIRA & Confluence (or similar tools) for project management and collaboration.

Permanent, 5 days, Eunos

Our client:

A reputable M & E infrastructure company that design, build n maintain data Centres n company server room

Job scope

Building M&E infrastructure Technical n operation

· Able to troubleshoot and carry out repair work for M&E Infrastructures services in Data Center

· Manage Technical Operation Team’s day-to-day operations (Exp: repair work, routine servicing, maintenance & T&C processes)

· To liase with n manage customer’s expectation

Department budget

· Manage department resources to ensure continuous smooth operations

· Manpower management

· Monitor and conduct review on department manpower competency level

• Ensure continuous training/improvement plan is in place across the technical team

Quality control

· Conduct quality checks on works completed

· Ensure regular review of equipment refresh for customers

Safety:

· Ensure compliance with Health, Safety, Environmental and Assurance regulations

Requirements

· Min Diploma in Mechanical & Electrical or relevant discipline

· 5 years of relevant working experience with at least 2 years in managerial position

· M&E technical knowledge or operation or both

· Fire Safety Manager certified

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the second largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwidebusiness. We work daily with international branches located in 30 markets by:

· Envisioning and preparing the Bank’s futures information systems

· Partnering and supporting core banking flagships and transverse areas in their large scale development projects

· Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Our organization

Within the IT & Operations division, the department Digital Excellence Center (DEC) in Singapore is strong of 150 staff. Our center of excellence have established a recognized expertise on process digitalization and data analytics while our expertise on artificial intelligence is growing.

Every day, we work jointly with domain IT teams or directly with business stakeholders on digitalization of their processes and leveraging on their data while, in the background, we design, build and frame the next generation of shared services.

We strive at organizing ourselves as agile units that leverage on sound expertise and reusable assets for addressing needs of our internal partners effectively.

We value teamwork, collaboration across the board and partnership with our business - we measure our successes through the successes of our clients.

Context

Credit Agricole CIB is engaged in a major digital transformation of its Business and Operations. We believe having a strong data governance, data quality and data lineage in our value chains with other major disruptive technological evolutions.

Over the past years, we groomed our skills, expertise and experience at building effective Data Analytics solutions. We want to sustain and improve them with data management practices.

Role & Profile

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

§ at least a bachelor degree in computer studies

§ minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment

§ at least 5 years of development experience with using Microsoft Business Intelligencestack covering

o Tabular Analysis Service

o Data warehousing

o Performance tuning

o Data transformations and quality checks

o Power BI dashboarding and reporting

§ good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps

§ ability to design and present technical solutions to architects and to team

§ proactive and problem solving attitude with ability to anticipate risks.

§ strong communication (written and verbal) and organizational skills

Key job responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

We are seeking a detail-oriented Temporary Administrative Assistant/Data Entry Assistant to support operations with various administrative tasks. The ideal candidate will be proficient in data entry, have experience with SharePoint organization, and possess a familiarity with Microsoft Office applications.

HERE’S A TASTE OF WHAT YOU’LL BE DOING:

1. Perform accurate and timely data entry tasks to ensure the integrity of organizational records.
2. Organize and maintain SharePoint sites, ensuring documents and information are appropriately categorized and easily accessible.
3. Assist in general administrative duties, including but not limited to filing, photocopying, and managing correspondence.
4. Collaborate with team members to ensure effective communication and coordination of administrative tasks.
5. Utilize Microsoft Office applications (Word, Excel, PowerPoint, Outlook) to create and edit documents.

YOUR RECIPE FOR SUCCESS:

1. Proven experience in data entry and general administrative tasks.
2. Familiarity with SharePoint organization and document management.
3. Proficiency in Microsoft Office applications.
4. Strong attention to detail and accuracy in completing tasks.
5. Excellent organizational and time-management skills.
6. Effective communication and interpersonal skills.
7. Ability to work independently and collaboratively in a team-oriented environment.
8. Reliable and punctual with a strong work ethic.

Duration: This is a temporary position with an expected duration of 3 months.

We are seeking a dynamic and experienced Technology, Data & Analytics Manager to lead our organization's technological endeavours and drive data-driven decision-making. In this pivotal role, you will oversee a broad spectrum of responsibilities, ensuring the seamless operation and optimization of our systems. The ideal candidate will exhibit strong leadership skills, technical expertise, and a strategic mindset to contribute to our company's continued growth.

Systems Management: Be the Go-To Expert:

• Expert Leadership: Serve as the primary point of contact for all matters related to systems, offering expertise and solutions to address user concerns.

• Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.

• Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.

• Billing Management: Manage billings related to systems and address related inquiries.

Strategic Planning and Collaboration:

• Representation in Planning Cycles: Represent the company in planning cycles, actively contributing insights to improve systems and programming targets on the digital analytics platform.

• Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.

• Continuous Improvement: Constantly explore opportunities to enhance systems, explore new tools in the market focusing on improving the efficiency and experience of users.

• Training for Users: Provide technical training to a large audience from the user's perspective.

Data Analysis:

• In-Depth Performance Analysis: Analyse performance trends for sharing insights during company-wide meetings.

• Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.

• Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.

• Automate Reports with PowerBI: Conceptualize, run, and automate reports using PowerBI to provide valuable insights for strategic decision-making.

People Management:

• Mentor and Coach Data & Systems Team: Foster a collaborative environment, ensuring successful project execution, maintaining smooth systems operations, and Business As Usual (BAU), while tracking task progress, priorities, and ensuring successful completion.
• Team Oversight: Oversee the IT Service Management vendor team, ensuring operational excellence and coordination during major company events.
• Vendor Collaboration: Collaborate with vendors on maintenance, new products, and explore opportunities for system improvements.

Personal Requirements:

• Minimum 5 years experience.
• Technology-related degree.
• Can be adaptable in a multi-faceted role.
• Experience working in a small to medium-sized company is ideal.
• Experience mentoring a teammate.
• Excellent communication skills.

What is in it for you:

• Competitive Salary: SGD 4-6k
• Gym/Wellness Allowance
• Health/Dental Insurance
• Working for a company that is passionate about their employees' personal growth.

About EBC

Established in 2005 Ethos BeathChapman are a global executive search firm with a presence in Australia, Asia and EMEA and is part of the highly capitalised Will Group which is listed on the Tokyo stock exchange.

Passionate about staying innovative, we embrace progressive ways of working and new technologies, and adopt an agile mindset to deliver market leading executive recruitment solutions.

We provide solutions across Financial Services, Fintech & Technology, Legal, Commercial and Life Sciences - our vision is to connect the world’s exceptional companies to exceptional people.

Astek is offering a role of Mid - Senior Level Data Engineer to be based in Singapore.

Responsibilities:

• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.
• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.

Requirements:

• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.

Data & Marketing Executive

Location: Kallang

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500

Requirement

• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.
• Minimum Bachelor's Degree in any field

Job Summary

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all BtoB marketing initiatives

Lim Jun Yao

Reg No: R1989028

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Responsibilities:

• Work with cross-functional teams in BU to understand department / use- case specific/ individual data needs & requirements, and identify opportunities to use data analysis to develop new strategies or improve existing working ways
• Demonstrate understanding of the business to identify, analyze and interpret patterns or trends in data sets that help in improving business performance
• Import data from various external and internal sources to bring meaningful insights into the business
• Develop strong relationships with Global DnA office for collaborations on data engineering and implementing of existing ready data solutions
• Work independently to design & create effective data visualizations, dashboards & reports that supports business decisions making

Requirements:

• Academic degree in e.g. business informatics, econometrics, mathematics, IT or another data & analytics discipline.
• 3 to 5 years of relevant work experience
• Excellent stakeholder management & communication skills to convey complex concepts to both technical and non-technical stakeholders

Account Manager:

Kerwin Tan Kai Bin (R1331624)

[email protected]

EA16S8107

Key Responsibilities:

• Manage the day-to-day operations of the Internet Data Center (IDC) facility, ensuring smooth and efficient functioning.
• Coordinate with cross-functional teams, including IT, facilities, network operations, and security, to ensure optimal performance of the IDC.
• Implement and maintain effective procedures and policies for the IDC operations, including maintenance schedules, incident management, and disaster recovery plans.
• Monitor and manage the infrastructure systems, including power, cooling, networking, and security, to ensure high availability and reliability.
• Establish and maintain relationships with key vendors and service providers, ensuring timely resolution of issues and adherence to service level agreements.
• Develop and manage the IDC budget, including forecasting expenditures, monitoring costs, and achieving cost optimization without compromising service quality.
• Identify improvement opportunities and implement initiatives to enhance IDC operations, such as implementing automation, improving energy efficiency, or increasing scalability.
• Ensure compliance with industry best practices, local regulations, and security standards related to data center operations.
• Lead a team of IDC technicians and engineers, providing guidance, support, and training to ensure their professional growth and maintain a high-performance culture.
• Regularly monitor key performance indicators (KPIs) related to IDC operations, identify trends, and present reports to senior management as needed.

Requirements:

• Bachelor's degree in a relevant field, such as information technology, electrical engineering, or facilities management.
• Proven experience (5 years) in managing IDC operations, preferably in a large-scale data center or colocation facility.
• Strong knowledge of data center infrastructure systems, including power distribution, cooling, network infrastructure, and security systems.
• Familiarity with industry best practices, regulations, and standards related to data center operations, such as ISO 27001, Uptime Institute Tier Classification, and BICSI standards.
• Proficiency in using data center management tools, monitoring systems, and incident management platforms, such as DCIM (Data Center Infrastructure Management) and BMS (Building Management Systems).
• Excellent leadership and communication skills, with the ability to collaborate effectively with cross-functional teams and provide clear guidance to technicians and engineers.

about company

I am currently working with a leading provider of alternative investment solutions with over $60 billion of assets under management and over 600 employees worldwide.

Salary budget wide open! 5 days in office. 4-5 rounds of interview to offer stage.

about job

• Taking responsibility for data quality, monitoring, and anomaly detection

• Digging into and exploring data; identifying features and issues; and communicating them to others clearly and concisely

• Standardisation and development of monitoring methodologies, systems, tools and libraries, and promoting those standards to other teams across the firm

• Automating and improving processes; owning and evolving our systems through pushing for changes that improve resilience andreliability

• Broad technical knowledge, particularly with respect to the processing and exploration

of data and an affinity for learning about newtechnologies.

• Passion for automation and continual improvement, with a track record of identifying high value automation opportunities

skills and requirements

● Bachelor's in Computer Science, Robotics, Electrical Engineering, or a related field

● Experience with coding in Python/C#/Scala/Java/Go or equivalent.

● Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake.

● Experience with containerisation and orchestration technologies like Docker/Kubernetes/Helm/Flux.

● Experience with various ETL/ELT technologies such as Airflow/Argo/Dagster/Spark/Hive

● Prefer candidates from similar industry; asset management, hedge fund, investment banking, FAANG, etc

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

This is a 12 months contract assigned to our client

Work Location: To be confirmed

Salary Range : $6,000-$7,300

Job Description

1. 5 Years experience Java (Core & Enterprise)

2. Java Application Servers (Tomcat & WebLogic) .NET

3. Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services

4. Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database

(Core DB &PL/SQL), MSSQL

5. Good grasp on security fundamentals/PKI

6. Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct,

Ant Design Vue

Scope of work:

1. Development SIT/UAT support

2. Implement micro services and enhancements

3. Production support, bug fixes, and enhancements

4. Support application minor/major upgrade

5. Hardware refresh including sanity test and regression test from system patching and minor/major

upgrade

about the company:
Our client is a global Private Bank, with a strong presence across APAC, Europe and America.

about the job:

• Write production code and develop applications/interfaces for Trading Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data flows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

skills and experience required:

• Master or PhD in Information Technology, Computer Science, Engineering, or alike.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing financial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data flows, and Data transformations.
• Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.
• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.
• Knowledge of Spark, Databricks, and Kafka.
• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.
• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.
• Knowledge of object-relational mapping and object-oriented databases.
• Experience with real-time analytics, OneTick and/or KDB+ is a plus.
• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.
• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

Job Responsibilities:

• Supervise, monitor, and direct the performance of Data Centre Services (Deployment of racks, trays, hardware, customer requests through ticket management, reverse logistics, supporting parts storage and replenishment)

• Monitor daily Service Level Objective (SLO) and Service Level Agreement (SLA) - (multiple sites)

• Develop an operational team strategy to achieve Service Standards & SLA KPI’s.

• Professionally monitor and train team’s performance, provide on the job coaching and evaluate performance, compare results to objectives.

• Recommend or initiate hiring, promotions, transfers or disciplinary actions.

• Conduct regular safety and task specific training both theoretically and practical.

• Ensure all services are completed accurately and on time, in accordance with customer policies, including safety requirements.

• Establish, maintain, and promote exceptional customer service.

• Properly maintain and inspect tools & equipment.

• Schedule Maintenance Services as necessary to maintain the facility’s infrastructure systems in accordance with maintenance programs including, but not limited to, 5S (floor and room organization, supplies, and upkeep).

• Always ensure an appropriate number of personnel on site.

• Oversees daily management of staff and manage the flow of Data Centre day-to-day operations

• Perform all services as efficiently as possible while limiting negative impact to the environment.

• Attend regular meetings with customers to report issues, analyze quality, review performance, and/or resolve issues.

• Correctly maintain and generate required reports, including trends surrounding the services.

• Correctly interpret and enforce company policies and safety procedures to ensure compliance.

• Manage team capacity & utilization for assigned tasks during normal operations SLA & standards

• Requires traveling to multiple sites if required.

Job Requirements:

• Minimum Required Experience: 3+ years of experience in a similar role. Preferred Tertiary educational level.

• Strong communication skills (verbal and written) in English for handling English speaking people and local country language.

• Focused on safety.

• Must have Team Management experience.

• Intermediate to Advanced computer skills (Word, Excel Powerpoint).

• Able to identify basic network components and understanding of computer terminologies.

• Ability to rapidly learn Standard Work Instructions (training and job shadowing to be provided).

• Data analysis skills.

• Attention to detail.

• Work independently and as part of a team. Ensure tasks are completed correctly and quickly.

• Must be comfortable working in a physically demanding environment.

• Ability to lift/move (~25 kg / 50 lbs.) equipment as required.

• Knowledge of machines, equipment and maintenance.

• Experience in handling multiple projects and tight timelines.

• Vendor interaction and relations experience.

• Knowledge of principles and practices of effective customer service.

• Provides direction, instructions and guidance to team members to ensure achievement of Service

Job Description & Requirements

Our client, large financial institution, is seeking a skilled and experienced Data Governance Specialist. The ideal candidate will play a key role in establishing and maintaining effective data governance frameworks, policies, and processes. This role involves collaborating with cross-functional teams to ensure data quality, integrity, and compliance with regulatory standards. The Data Governance Specialist will contribute to the development and implementation of data governance strategies, providing expertise in data management and ensuring alignment with business objectives.

Key Responsibilities:

1. Assist in Develop and implement data governance policies, standards, and procedures.
2. Collaborate with stakeholders to define data governance objectives and requirements.
3. Establish and maintain data quality and integrity standards.
4. Conduct data profiling, analysis, and assessments to identify data issues and opportunities for improvement.
5. Create and manage metadata repositories, ensuring accurate documentation of data assets.
6. Collaborate with IT and business teams to implement data classification and access controls.
7. Monitor and enforce compliance with data governance policies and standards.
8. Provide training and support to teams on data governance best practices.
9. Participate in data governance committees and contribute to the overall data governance strategy.
10. Stay updated on industry trends, regulations, and best practices in data governance.

Qualifications:

1. Bachelor's degree in a related field (Data Management, Information Technology, etc.).
2. Proven experience in data governance, data management, or related roles.
3. Strong understanding of data governance frameworks, principles, and best practices.
4. Proficiency in data profiling tools, metadata management, and data quality assessment.
5. Excellent communication and interpersonal skills.
6. Detail-oriented with strong analytical and problem-solving abilities.

Interested candidates please email your latest resume to [email protected]

Key job responsibilities:

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Requirements:

This position requires a candidate with,

• at least a bachelor degree in computer studies
• minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 5 years of development experience with using Microsoft Business Intelligence stack coveringTabular Analysis Service
  Data warehousing
  Performance tuning
  Data transformations and quality checks
  Power BI dashboarding and reporting
  
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks.
• strong communication (written and verbal) and organizational skills

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• Experience on Azure Cloud.
• Experience in developing data ingestion, data processing through Data bricks and analytical pipelines for relational databases, NoSQL and data warehouse solutions
• Strong experience in data curation/aggregation/preparation using Azure Data Lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Data bricks
• Designs, modifies, and builds new and scalable data processes
• Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Extensive experience providing practical direction within the Azure Native services
• Good experience in Spark SQL is preferred with Azure services.
• Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Data bricks Azure Data Catalog, etc.
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
• Experience in using various File Formats and compression techniques
• Experience working with Developer tools such as Azure DevOps, GitLab
• Experience with private and public cloud architectures, pros/cons, and migration considerations
• Experience developing and deploying ETL solutions on Azure
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Experience of working in Agile delivery
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent organizational, multi-tasking, and time-management skills
• Sr Azure Data Engineer with strong experience on Azure ADF, Synapse, Python, exposure to Spark
• Strong understanding of Azure DevOps, exposure to Data modelling

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• Experience on Azure Cloud.
• Experience in developing data ingestion, data processing through Data bricks and analytical pipelines for relational databases, NoSQL and data warehouse solutions
• Strong experience in data curation/aggregation/preparation using Azure Data Lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Data bricks
• Designs, modifies, and builds new and scalable data processes
• Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Extensive experience providing practical direction within the Azure Native services
• Good experience in Spark SQL is preferred with Azure services.
• Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Data bricks Azure Data Catalog, etc.
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
• Experience in using various File Formats and compression techniques
• Experience working with Developer tools such as Azure DevOps, GitLab
• Experience with private and public cloud architectures, pros/cons, and migration considerations
• Experience developing and deploying ETL solutions on Azure
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Experience of working in Agile delivery
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent organizational, multi-tasking, and time-management skills
• Sr Azure Data Engineer with strong experience on Azure ADF, Synapse, Python, exposure to Spark
• Strong understanding of Azure DevOps, exposure to Data modelling

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• CAT-1 eligible or cleared candidate is required for this role.
• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

• Leading company in fund management
• Permanent position with career progression

About Our Client

Our client focuses on developing Quant Fund and Fundamental Fund. These strategies leverage our expertise in commodity/financial markets, coupled with our extensive knowledge of derivatives and honed statistical and mathematical skills.

Job Description

As a Data Engineer, you shall be responsible for:

• Demonstrate expertise in managing diverse data, handling data pipelines using ETL tools, ensuring quality, and efficient persistence.
• Design, implement, and support solutions post-implementation.
• Operate within Agile and Scrum methodologies, employing TDD, Automated Testing, Continuous Integration, Automated Deployment, and Pair/Peer reviews.
• Define objectives by analysing user requirements, envisioning system features, and functionality.

The Successful Applicant

As a suitable candidate, you shall possess Min. 3 years of experience in data engineering including experience in using Python, relational and No SQL database, and familiar with Kafka , Spark , Airflow & Postgres DB. You shall also have Min. Degree in Computer Science, Data Science or related field.

What's on Offer

• Stable organisation with career growth opportunity
• Attractive salary and benefit package

Job Objectives

The Bank is seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of their ML Solutions.

Key Responsibilities

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Key Requirements

· Bachelor's degree in Computer Science, Information Technology, or a related field

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Responsibilities:

• Engage in both exploratory data analysis to identify trends and data patterns
• Perform data preparation and data cleaning part of data migration project. 
• Understand Source data and support Source to Target mapping rules
• Design and implement the ETL framework for the data warehouse
• Build and maintain DBT pipelines to transform source data into reporting data models for our visualization team
• Build the Data Ingestion framework and ingest data from source files to load into Staging layer using DBT
• Code orchestration pipelines leveraging Python to connect data ingestion, DBT, Power BI
• Perform data profiling and identify any data quality issues and report to source systems 
• Using best practices build the ETL components as per mapping rules to move data into ODS; SOR layer and Data marts 
• Ensure the ETL jobs are set up; configured and scheduled  
• Develop data pipeline observability test scripts in DBT to monitor anomaly and freshness, and detect data quality issues
• Perform Unit testing on ETL components built and provide unit test results. Support System Integration testing and User Acceptance testing and fix any issues 

• Proven experience as a Data Engineer, with a focus on ETL development, Azure Data Factory, and DBT Cloud.
• Strong proficiency in SQL and experience working with relational databases.
• In-depth knowledge of data modeling and data warehousing concepts.
• Experience with cloud-based data platforms, particularly Azure.
• Certification in Azure Data Factory or DBT.

Join the exciting world of data and help us build the foundation for successful data-driven insights!

We're looking for a skilled and experienced Data Engineer to play a key role in our data migration project. You'll be responsible for designing, developing, and implementing the data ingestion and ETL components, ensuring accurate and reliable data flows to our data warehouse.

What you'll do:

• Deep-dive into the data, uncovering trends and patterns through exploratory data analysis.
• Prepare and clean the data, ensuring its quality and readiness for migration.
• Understand source data and map it effectively to target systems.
• Design and implement the ETL framework for our data warehouse using industry-standard tools.
• Build and maintain DBT pipelines to transform raw data into ready-to-use data models for reporting and visualization.
• Develop the data ingestion framework, loading data from source files to a staging layer using DBT.
• Leverage Python to orchestrate data pipelines, connecting ingestion, DBT, and Power BI.
• Monitor data quality and identify any issues, reporting them back to source systems.
• Implement best practices and map rules to effectively move data across ODS, SOR, and data marts.
• Set up, configure, and schedule ETL jobs for smooth data flow.
• Develop data pipeline observability tests in DBT, detecting anomalies, freshness issues, and data quality problems.
• Perform unit testing on ETL components and support system integration and user acceptance testing.

Who you are:

• A data enthusiast with a Master's/Bachelor's degree in computer science, engineering, business analytics, information systems, or a related field.
• Minimum of 3 to 4 years of related experience.
• Experienced in building cloud data pipelines and data warehousing, ideally within a cloud data warehouse environment.
• Proficient in ETL tools like Azure Data Factory, Azure Databricks, and DBT Cloud.
• Familiar with modern data stacks, particularly Snowflake, Airflow, and AWS data services.
• A strong communicator and team player who thrives in a collaborative environment.

Bonus points:

• Experience with big data techniques like Hadoop, MapReduce, Hive, Pig, and Spark.
• An understanding of statistical modeling, machine learning, data mining, and text mining concepts.
• A track record of solving problems with data-driven approaches.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

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