Total 863 data entry job vacancies in Information Technology category in Hong Kong

Focus: Engineering Analysis, Carbon Modelling & ESG Strategy

Role Purpose:

As a Sustainability Analyst, you will bridge the gap between engineering principles and environmental

strategy. This role is designed for an analytical professional who can take, raw data from industrial or

corporate environments and transform it into clear, actionable decarbonization roadmaps. You will use

your engineering logic to ensure that sustainability goals are not just ambitious, but technically

feasible.

Key Responsibilities

1. Advanced Data Analysis & Tool Building

 Excel Modeling: Build and manage complex, automated spreadsheets to calculate energy

intensity, and water usage.

 Automation: Utilize Advanced Excel (Power Query, Pivot Tables, and Arrays) to clean

large datasets from clients and create repeatable calculation templates.

 Quality Assurance: Audit client data for technical consistency, ensuring that engineering

units (kWh, tonnes, MJ) are converted and reported accurately.

2. Engineering-Led Sustainability Strategy

 Process Assessment: Review engineering diagrams (P&IDs), utility bills, and equipment

specs to identify energy-saving opportunities.

 Technical Feasibility: Assist in evaluating green technologies (e.g., HVAC upgrades,

electrification, or waste-to-energy systems) from both a carbon and cost perspective.

 Benchmark Modeling: Compare client performance against industry standards using first-

principles engineering calculations.

3. Reporting & ESG Frameworks

 Impact Visualization: Translate spreadsheet data into compelling charts and dashboards for

client presentations.

 Compliance Support: Draft technical sections of sustainability reports in alignment with

global frameworks like GHG Protocol, GRI, or CDP.

 Continuous Learning: Stay updated on emerging green technologies and carbon

regulations to provide & "ahead-of-the-curve" advice.

Requirements & Qualifications

 Experience: Minimum 2 years of professional experience in consulting, energy

management, or a technical engineering role.

 Education: Degree in Engineering (Mechanical, Chemical, Environmental, or Civil).

 Excel Skills: Advanced proficiency is non-negotiable. You should be comfortable handling

large datasets, building interactive models, and using complex formulas to solve problems.

 Analytical Mindset: A "detective" approach to data—finding the story within the numbers and

identifying errors in technical reports.

 Sustainability Flair: A demonstrated interest in the green transition, circular economy, or

renewable energy. You don't just "do the math"; you care about the impact.

Why This Role?

This role offers the opportunity to apply a "hard" engineering skill set to the "soft" world of corporate sustainability. You will be the technical backbone of the team, ensuring that every sustainability claim the client makes is backed by rigorous data and sound engineering logic.

Overview

We are partnering with a leading global technology company in the semiconductor industry to hire a Senior Data Scientist.

This role focuses on applying data science, machine learning, and optimization techniques to improve manufacturing efficiency, production yield, and operational performance in a highly complex, data-rich environment.

Key Responsibilities

• Analyze large-scale operational and manufacturing datasets to identify trends and improvement opportunities
• Develop and deploy machine learning models to enhance performance, quality, and efficiency
• Build and maintain data pipelines to integrate and process data from multiple sources
• Design and implement simulation models (e.g. digital twin environments) to optimize workflows, scheduling, and resource allocation
• Work with 3D simulation platforms (e.g. Omniverse or similar) to model and improve real world systems
• Collaborate with engineering, operations, and business stakeholders to translate requirements into scalable data solutions
• Communicate insights and recommendations to both technical and non-technical audiences

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field
• Strong programming skills in Python and experience with SQL
• Hands-on experience in machine learning, statistical modeling, and data analysis
• Exposure to optimization techniques (e.g. linear programming, operations research) or simulation is highly preferred 
• Experience working with large and complex datasets in a production environment 
• Strong problem-solving skills and ability to translate business problems into analytical solutions
• Good communication skills and experience working with cross-functional stakeholders

Location : Gurgaon

Hybrid working

UK time zone

Exp : 5+ Yrs

Skills and Experience

Must-Have Skills

• 5+ years of hands-on experience in Data Engineering, Data Automation, or Data Pipeline development.
• Strong Python expertise with experience building and maintaining production-grade data pipelines.
• Data ingestion experience using APIs, web scraping, and file-based sources (Excel, HTML, JSON, XML).
• Strong working knowledge of Pandas, NumPy, Requests, BeautifulSoup, Selenium.
• Solid understanding of data pipeline architecture, modular design, reusability, and performance optimization.
• Experience with workflow orchestration concepts such as scheduling, dependencies, retries, and monitoring.
• Hands-on experience with logging, alerting, error handling, and monitoring for production workflows.
• Proficiency with Git and strong coding, testing, and documentation standards.
• Strong understanding of data quality, validation, governance, and schema evolution.
• Ability to troubleshoot and resolve production data pipeline issues independently.

Nice-to-Have Skills

• Experience with Decisions or similar workflow automation platforms.
• Exposure to PySpark or distributed data processing frameworks.
• Experience working with on-premise enterprise data ecosystems.
• Experience mentoring junior engineers or influencing engineering best practices.
• VBA

Key Responsibilities

• Design and develop scalable, reusable data collection systems using APIs, web scraping, and file-based ingestion (e.g., Excel, HTML, JSON).
• Lead development of Python-based data ingestion and automation methods for diverse data sources.
• Integrate ingestion pipelines with enterprise data storage and processing layers, ensuring reliability, performance, and maintainability.
• Ensure data quality, governance, and cross-system consistency in collaboration with backend, analytics, and UI teams.
• Productionize Python-based analytical models for scalable, reliable execution in operational environments.
• Enable end-to-end automation of data pipelines and workflows with minimal manual intervention.
• Establish and enforce development standards including code structure, testing, documentation, logging, and error handling.
• Contribute to internal workflow orchestration and Decisions-based transformation solutions.

Technical Environment

• Python-based custom data pipeline framework
• API-driven data access and web scraping
• Decisions workflow automation (nice to have)
• Internally managed workflow orchestration services

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

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

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

Grab Geo team is an established team with strong start-up spirit, responsible for mapping, routing, navigation, POI (point-of-interest), travel time estimation and tech inventions on IoT etc. The Analytics team is one of the functions in Geo, whose mission is to advance product innovation with data analytics and experimentation best practices. If you are keen to solve complex problems such as how to improve the accuracy of time estimation, how to provide the most optimal route to travel, what is the best way to navigate, or participating in making a good map to serve South East Asia, here is your playground!

Get to know the role 

You will harness AI and large-scale geospatial data to solve complex mapping problems and provide the critical insights that power Grab’s superapp. Working at the intersection of Product, Engineering, Design and Operations, you will identify patterns in millions of GPS pings and sensor signals to build the most accurate map of Southeast Asia. We are looking for an innovative analyst to help evolve Grab’s "Geo-Moat" by turning raw telemetry into world-class mapping intelligence.

This role is based in Singapore and onsite.

The Critical Tasks You Will Perform

• AI-Powered Insights: Use agentic solutions to generate data-driven hypotheses that solve geospatial problems like routing, "first-mile/last-mile," and POI (Point of Interest) accuracy challenges.

• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems

• Design and own data specs for mapping features, while collaborating with engineering teams to ensure accurate and timely data collection, ensuring scalable data collection that bridges the gap between raw signals and executive decision-making.

• Define and rigorously track high-impact metrics to provide actionable recommendations for continuous map improvement. Proactively use data to identify trends, spot anomalies and deep dive into their root causes

• Build and maintain AI-powered tools that allow regional business teams to self-serve geospatial insights, accelerating Grab’s ability to respond to local market changes.

• Provide mentorship to junior team members

Qualifications

What Essential Skills You Will Need

• 4+ years of experience in data analytics. Experience in IoT, map-making and working with Geospatial datasets will be preferred.

• AI native mindset, enjoy using AI to support your day to day work. Experience with building AI tools is a plus

• Fluent in SQL, Python, R, or other scripting/programming languages, and comfortable with very large datasets and complex ETL processes.

• Exposure to GIS tools and utilities (e.g., QGIS, Kepler, PostGIS) to manipulate, analyze, and visualize spatial data to improve maps and inform product insights will be a plus. 

• Statistical knowledge is a must. You have hands-on experience in running and analyzing controlled experiments, turning data into actionable insights.

• Data visualization and storytelling skills. Ability to build the right visualizations to communicate complex analyses to a variety of audiences, including senior leaders.

• Own the design and execution of innovative data frameworks for ambiguous problems, empowering stakeholders with the insights required to steer product strategy

Additional information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across multiple teams.

Job Responsibilities

• Develop innovative data solutions that enhance data accessibility and usability.
• Collaborate with cross-functional teams to identify data needs and implement effective solutions.
• Monitor and optimize data pipelines for performance and reliability.
• Conduct regular data quality assessments and implement improvements as necessary.
• Stay updated with industry trends and best practices in data engineering to continuously improve processes.
• Query, clean, and transform datasets using SQL and Python on Databricks/Pyspark.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.
• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.
• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks
• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Job Qualification

• Degree in Computer Science, Information Systems, Data Engineering, or a related field
• With 5 or more years of hands-on experience in data engineering, data pipelines, and ETL processes.
• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.
• Familiarity with Databricks or similar big data/analytics platforms.
• Ability to produce high-quality technical documentation.
• Experience in system testing, SIT/UAT, or quality assurance processes.
• Knowledge of Spark for distributed data processing.
• Understanding of Git or other version control systems.
• Excellent analytical mindset and problem-solving abilities.
• Good communication skills, especially in explaining technical concepts to non-technical users.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with carolyn.mendoza@manpower.com.sg | Personnel Reg No.: R1105160 | EA License: 02C3423

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

1. Accountable for overall project business requirements elicitation
2. Driving business discussions and managing the project scope
3. Senior stakeholder management and leadership updates
4. Support the project delivery phases especially during Analysis and design and test phases.
5. Ability to support the PM when required

Key requirements:

1. 10+ years of experience in Banking industry.
2. 10+ years of experience as an FBA working in technical delivery.
3. Experience as a business analyst in leading banks and delivered projects, programs of large scale.
4. Should have good communication skills and capability to drive senior stakeholders with minimal supervision.
5. Should have domain experience in Data/Analytics.

Job Summary

An exciting opportunity for Lead Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

You will be part of a high-impact team that works collaboratively with various teams (both internal and external) to address corporate most critical data and infrastructure challenges.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 10 years of experience in data engineering, cloud infrastructure or platform engineering;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage in an air-gapped environment;
• Hands-on experience with cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, and SQL;
• Familiarity with building and using CI/CD pipelines and infrastructure-as-code practices;
• Experience in Databricks and implementing batch/real-time data pipelines;
• Strong industry and best practice knowledge on data governance, policy, security and privacy;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Translate business data requirements into technical specifications and scalable solutions;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;Champion engineering excellence and influence adoption of modern data and infrastructure practices across the entire organization.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

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

EA License No. 07C5639

About the Role

We are looking for a skilled and proactive Database Engineer to design, implement, and maintain robust, scalable, and secure database systems. You will play a key role in managing both cloud and on-premise data platforms, ensuring high performance, reliability, and data integrity across the organisation.

Key Responsibilities

Database Implementation & Operations

• Design, deploy, and manage databases in alignment with architectural standards and technical specifications
• Configure and maintain data storage solutions across relational, non-relational, and hybrid environments
• Manage cloud-based database infrastructures with a focus on cost efficiency, scalability, and performance

Performance & Optimisation

• Identify and implement database tuning strategies, including indexing and query optimisation
• Monitor and troubleshoot performance issues across relational and NoSQL database systems

Data Lifecycle & Reliability

• Define and enforce data lifecycle policies, including retention, archival, and deletion strategies
• Develop and maintain robust backup and recovery processes to ensure data availability and integrity

Security & Compliance

• Ensure database security, including access controls and adherence to organisational and regulatory requirements
• Collaborate with cross-functional teams to support data governance, compliance, and audit initiatives

Automation & Efficiency

• Automate routine database administration tasks to improve operational efficiency
• Leverage scripting and automation tools to streamline deployment, monitoring, and maintenance processes

Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Systems, or a related discipline
• Minimum 5 years of experience in database administration across multiple database architectures
• Strong experience with relational databases such as Microsoft SQL Server and PostgreSQL
• Hands-on experience with NoSQL databases (e.g., Cassandra, MongoDB) is an advantage
• Familiarity with object storage solutions such as AWS S3 or Nutanix Object Store
• Knowledge of graph databases (e.g., Neo4j) is a plus
• Strong expertise in performance tuning, indexing, and query optimisation
• Experience in data lifecycle management, including retention and archival strategies
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Strong analytical thinking, problem-solving abilities, and stakeholder collaboration skills

Work Location: One North

(EA Reg No: 20C0312)

Please email a copyof your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlistedcandidates will be notified.

About the company & role

Our client is a well‑established A1main contractor with a strong track record of delivering large‑scale, complex projects across Singapore and the region. Known for its robust in‑house engineering capabilities and collaborative project delivery, the organisation is highly regarded for its technical excellence, buildability focus, and commitment to safety and quality.

As part of its continued expansion in mission‑critical developments, the organisation is strengthening its technical leadership to support Data Centre projects across Southeast Asia. It is currently seeking a Senior Technical Manager to lead and oversee all Civil and Structural design activities across the region.

Key Responsibilities

Technical Leadership & Design Management

• Lead all Civil & Structural (C&S) design works for Data Centre projects from tender through to completion.
• Manage and coordinate design consultants to deliver optimised, buildable solutions within budget and programme.
• Oversee design schedules, shop drawings, calculations, and technical documentation.

Coordination& Stakeholder Management

• Coordinate design interfaces and approvals with clients, authorities, consultants, and internal teams.
• Work closely with construction and commercial teams to resolve design issues and support site execution.
• Manage technical queries, RFIs/RFAs, and provide technical support during tender and delivery phases.

Procurement, Quality & Compliance

• Review technical specifications and submissions from consultants, subcontractors, and suppliers.
• Ensure compliance with statutory requirements, codes, safety standards, and data centre–specific design criteria.
• Drive design best practices and continuous improvement across projects.

People& Client Leadership

• Lead and develop technical teams to deliver high‑quality outcomes.
• Build strong client relationships through clear communication and a solutions‑focused approach.

Requirements

• Degree in Civil Engineering from a recognised university endorsed by the Professional Engineers Board.
• Minimum 10 years of engineering experience, with proven delivery of large-scale, complex construction projects.
• Strong knowledge of C&S design principles, authority submission processes, and construction methodologies.
• Demonstrated leadership experience managing consultants and multidisciplinary teams.
• Proven experience delivering Data Centre projects is highly preferred.
• Willingness to travel across Southeast Asia when needed.

Interested candidate kindly send your CV to wenyu.jiang@peoplesearch.jobs. Please indicate your availability, expected salary and reason for leaving current job.

We regret that only shortlisted candidates will be contacted.

About the Project

We are seeking an experienced Data Analyst to support business operations. This role will focus on headcount and resource planning, expense analysis, and margin assessment, ensuring optimal staffing levels to meet business demands.

Responsibilities

• Assess data related to business margins, expenses, resource allocation, and costing data to support operational planning.

• Lead headcount planning by calculating requirements, identifying overstaffing/understaffing situations, and providing actionable recommendations.

• Prepare and deliver professional presentations to senior stakeholders, backed by accurate data points and insights.

• Conduct forecasting to anticipate future business needs and resource requirements.

• Provide consulting support to the business on capacity planning strategies.

• Collaborate with cross-functional teams across APAC markets to align planning with operational objectives.

Skills/Requirement

• Minimum 6 months of experience in data analysis, reporting and presentation in a corporate environment.

• Strong proficiency in Excel (advanced formulas, pivot tables, charts, data modelling).

• Proven experience in preparing and presenting insights to senior business leaders.

• Ability to challenge senior stakeholders constructively with data-backed recommendations.

• Strong analytical, forecasting, and problem-solving skills.

• Excellent communication and presentation abilities.

• Prior experience in APAC roles preferred.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Tech Services Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy. Our full privacy policy is available at https://www.persoloutsourcing.com/policies.. If you wish to withdraw your consent, please email us at Ken.Tan@persoloutsourcing.com. Please feel free to contact us if you have any queries.

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.

Our Team:

The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the "ADSK" system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients.

The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.

What’s the role?

Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.

We'll trust you to:

• Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
• Use your customer service skills and subject matter expertise to educate and inform our clients
• Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
• Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
• Enhance customer operational performance by using Help Desk resources
• Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
• Make independent decisions to resolve customer issues with strong problem solving skills

You’ll need to have:

• Up to 3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
• Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
• Business proficiency in Japanese or Korean language to cover Japanese or Korean-speaking clients
• Proven written and verbal communication skill in English
• A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
• Proven ability to multitask effectively, remain professional under pressure, and meet deadlines in a fast-paced, dynamic environment
• Strong analytical and problem-solving skills, with the ability to take a logical approach and apply critical thinking to resolve complex or time-sensitive issues
• Comfortable working both independently and collaboratively within multidisciplinary teams, demonstrating self-motivation and adaptability
• Demonstrated continuous career growth within an organisation

We’d love to see:

• Proficiency in another Asian language as this role will require coverage across Asia
• Proficiency in Microsoft Office suite & Google Drive
• Proficiency in data analytics tools such as QlikSense, or Tableau

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritize candidates with legal authorization to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.

If this sounds like you:

Apply if you think we’re a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:

Learn more about our office and benefits:

Singapore | http://www.bloomberg.com/professionalhttp://www.bloomberg.com/singapore

Company / Role Overview

This opportunity sits within a large-scale finance transformation programme at a leading global financial services organisation undergoing multi-country ERP modernisation. The role focuses on supporting data migration and cutover activities for finance systems as part of a broader initiative to enhance financial operations, reporting capabilities, and decision-making processes. Working within a central delivery team, the individual will collaborate closely with finance, technology, and external delivery partners to ensure accurate data transition, operational readiness, and smooth system go-live across multiple business units.

Key Responsibilities

• Support the planning and execution of data migration and cutover activities, including defining scope, sequencing, timelines, and governance processes
• Assist in designing and implementing data mapping, transformation, validation, and reconciliation approaches in collaboration with business and technical stakeholders
• Coordinate and support data extraction, cleansing, and loading processes into the target ERP system, ensuring completeness and accuracy of migrated data
• Perform and support reconciliation activities (e.g. trial balance and subledger validations) to ensure data integrity, including obtaining business sign-offs
• Contribute to the development and maintenance of detailed cutover plans and runbooks, including supporting mock runs, dress rehearsals, and go-live execution
• Facilitate coordination across cross-functional teams (finance, IT, vendors, and programme teams) to manage dependencies, risks, and issue resolution during cutover phases
• Support operational readiness activities, including readiness assessments, tracking of milestones, and ensuring entry/exit criteria are met for key delivery stages
• Assist in governance and reporting activities, including tracking progress, escalating risks, and supporting decision-making forums for go/no-go readiness

Job Requirements

Must-Have:

• 3-7 years of experience in ERP implementations with exposure to data migration and/or cutover activities
• Hands-on involvement in at least one end-to-end system implementation cycle, including go-live support
• Experience working with ERP financial data, including data migration concepts such as mapping, cleansing, and reconciliation
• Exposure to ERP data migration tools or methods used for bulk data handling and system uploads
• Strong stakeholder coordination skills, with the ability to work across business, technology, and vendor teams
• Ability to operate in fast-paced, time-critical environments with strong problem-solving and execution capabilities

Nice-to-Have:

• Experience with Oracle-based ERP platforms or similar financial systems
• Prior exposure to finance transformation programmes or financial reporting processes
• Experience working in global or multi-country programme environments
• Familiarity with complex accounting standards or regulatory reporting requirements
• Relevant certifications in project delivery, ERP systems, or testing frameworks

If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

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 Senior Associate Data Engineer with strong hands-on experience in ETL development using Talend and Microsoft Azure data services. The role involves designing, building, and optimizing scalable data pipelines to support analytics, reporting, and downstream applications.
 

Your key responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Talend
• Integrate data from multiple sources (databases, APIs, flat files, cloud sources)
• Build and manage data workflows on Microsoft Azure, Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL / Synapse Analytics
• Ensure data quality, consistency, and reliability
• Optimize data pipelines for performance, scalability, and cost
• 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.
• Collaborate with data analysts, BI teams, and stakeholders to understand data requirements
• Implement data validation, monitoring, and error handling
• Support production deployments and resolve data pipeline issues
• Document data flows, transformations, and technical designs
• Mentor junior team members and provide technical guidance

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Minimally 4 years of hands-on experience in Data Engineering/ETL Development 
• Strong experience with ETL design patterns, data warehousing, and real-time/near real-time data processing.
• Strong hands-on experience with Talend (Data Integration/Big Data) 
• Solid experience with Microsoft Azure data services, including: Azure Data FactoryAzure Data Lake Azure SQL/Synapse 
• Strong SQL skills (complex queries, performance tuning) 
• Experience with data warehousing concepts 
• Prior Consulting/Professional Services experience
• Familiarity with batch and near-real-time data processing\
• Understanding of data governance, security, and access controls
• Experience working in Agile/Scrum environments

Ideally, you’ll also have

• Experience with Python or Spark
• Exposure to DevOps / CI-CD pipelines for data platforms
• Experience with Power BI or downstream analytics tools
• Knowledge of cloud cost optimization best practices
• Experience in regulated or enterprise environments

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

If you are interested to join us, please apply via Fei Yue Career Portal.

As a Technical Lead, you are entrusted with the responsibility to spearhead emerging technology initiatives. Working closely with service groups and other team players, your role is to turn real challenges into practical and user-centered solutions, combining design, technology and data to improve client outcomes and the day-to-day work of our staff.

You are responsible for the build and integration of applications, data pipelines, dashboards, and AI-enabled solutions that align with frontline services and organizational objectives. You will ensure solutions are robust, maintainable, and responsibly deployed, with strong attention to data protection, ethical use of technology, and real-world usability in a social service space.

You are part of the innovation squad, a multidisciplinary team, driving digital and service transformation across frontline services, and shaping next generation tools and experiences for our staffs and the vulnerable communities.

Responsibilities:

Tech Exploration and Strategic Alignment

• Identify where technology, data and AI can meaningfully improve services and address challenges that align with organizational outcomes
• Evaluate technical, data, and integration considerations early in the process
• Explore emerging technologies and recommend responsible and practical applications
• Identify potential risks and ethical or data related considerations

Technical Architecture and Solution Design

• Design secure, scalable, and maintainable solution architectures
• Define and document technical specifications and integration requirements
• Assess vendor tools or platforms for suitability
• Ensure alignment between user experience, technical feasibility and operational practicality

Development, Data Work and Implementation

• Lead development efforts with in-house, vendors or other development teams
• Conduct technical reviews and ensure adherence to performance, security and quality standards
• Oversee functional testing, UAT, and security checks
• Manage deployment and successful integration with internal systems

Data Responsibilities

• Develop workflows that organize, prepare and maintain data for solution use
• Create automated processes to extract, transform, validate and connect data from various resources
• Build dashboards and visualizations that help teams glean insights and monitor outcomes

Delivery, Maintenance and Continuous Improvement

• Monitor solution stability, performance and adoption post launch
• Troubleshoot issues and implement iterative improvements based on feedback
• Maintain technical documentation for continuity and knowledge transfer
• Ensure long term sustainability through proper updates, version control

Requirements:

• Bachelor’s degree in computer science, information systems or related technical discipline
• At least 5 years in technology roles that involves solution design, digital products, data-enabled work and/or AI related projects
• Familiarity working with APIs, cloud platforms and modern solution stacks
• Ability to work in data preparation, transformation and creating dashboards or analytical views is preferred
• Confident communicator with both technical and non-technical stakeholders
• Proactive learner with strong interest in new technologies, data tools and AI applications

For your privacy and security, kindly refrain from including your NRIC number in your application form or resume. Please note that we do not accept hardcopy resumes.