Total 902 data entry job vacancies in Information Technology category in Hong Kong

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

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.

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 looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 2 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices
• Experience in IT Consulting/Big 4 environment

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 we offer

EY offers a competitive remuneration package commensurate with your work experience 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, where this may be needed, guided by our FWA Policy.

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.

If you can demonstrate that you meet the criteria above, apply today!

About the client: Our client is a Bank

Responsibilities:

• Manage the Project scope, timeline, and commissioning/cutover outcomes.
• Manage cabling, LAN, Wi Fi AV/VC rooms, endpoints, identity/security readiness process.
• Handle contractor management, FM/building management, RACI, SLAs, and escalation.
• Responsible for Budgeting, Procurement, value engineering, change control, variance tracking.
• Handle the governance process such security approvals, change tickets, document packs etc.

Requirement:

• Bachelor Degree in IT / Compute Science or relevant educational qualification.
• 2–3 completed office fit outs (≥10,000 sq ft preferred): scope, budget, timeline, and commissioning/cutover outcomes.
• Hands on coordination of cabling, LAN, Wi Fi (incl. heat maps), AV/VC rooms, endpoints, identity/security readiness.
• Vendor/contractor management (cabling/AV/network integrators, corporate real estate, FM/building management, landlord) with RACI, SLAs, and escalation examples.
• Budget & procurement: Quotations comparisons, value engineering, change control, variance tracking.
• Governance: EA/security approvals, change tickets, document packs (designs, T&C scripts, as builts, handover/SOPs).
• User change enablement: comms/training plans, hypercare metrics.
• Attitude/service orientation: executive and end user references, examples of de escalation and sponsor management.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the 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 AML/KYC/Compliance and Data/Analytics.
6. Previous technical experience is beneficial.

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.

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 looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 1 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices

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 we offer

EY offers a competitive remuneration package commensurate with your work experience 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, where this may be needed, guided by our FWA Policy.

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.

If you can demonstrate that you meet the criteria above, apply today!

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

The Integration Manager is responsible for coordinating the technical infrastructure and system‑integration activities required to transition a constructed facility into a fully operational data centre. The role ensures that ICT infrastructure, critical systems, and cross‑discipline interfaces are delivered in a coordinated, compliant, and timely manner.

• Oversee delivery and integration of ICT and technical fit‑out works in line with approved designs and project plans.
• Coordinate interfaces across engineering, security, and supporting disciplines to enable seamless system integration.
• Validate technical installations against design requirements and readiness criteria.
• Support build‑readiness, commissioning preparation, and handover activities.
• Manage integration risks, issues, and dependencies, driving resolution across stakeholders.
• Coordinate contractors, vendors, and suppliers, ensuring clear accountability and alignment.
• Support logistics planning, equipment delivery, staging, and sequencing activities.
• Provide regular status updates covering progress, risks, and key milestones.
• Support change control, programme coordination, and critical‑path management.
• Facilitate cross‑team collaboration and communication throughout delivery and commissioning phases.

• 1-year contract, renewable
• Hybrid work arrangement
• Government project

General Requirements

• 4 years of experience in supporting the development of scalable, data-driven products in a government environment.
• Able to communicate well, with strong conviction in the Government’s mission and good user management skills
• Experienced in running major projects with strong management skills
• Able to think of the big picture while being able to deep-dive into details when required
• Comfortable being hands-on and going onsite (e.g. project sites) if required

Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses, operational data stores, data lakes and data virtualization environments
• Perform data extraction, cleaning, transformation, and data flow management
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks
• Integrate and collate data silos in a scalable and compliant manner
• Collaborate with Product Managers, Data Architects, Business Analysts, Frontend Developers, Designers and Data Analysts to build scalable data-driven products
• Develop backend APIs and work on databases to support applications
• Work in an Agile environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review processes

GIS / Spatial Skillsets

• Familiar with GIS platforms such as ArcGIS Server and PostGIS
• Able to use spatial Python libraries such as GeoPandas and Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources
• Implement data cataloging, metadata, lineage, and security; optimize storage and performance for GIS analytics (e.g. PostGIS, data lakes)
• Provide reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams
• Apply data validation, cleansing, reprojection, metadata, and data lineage for geospatial data
• Design enterprise geospatial data models, schemas, pipelines, and services; build or configure web map services and front-end visualization components
• Ensure data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets

The Lead Data Engineer will drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision making across the organization. This role requires deep technical expertise, strong problem solving skills, and the ability to guide teams in building robust data pipelines, analytical datasets, and data driven applications. The ideal candidate combines hands on engineering capability with leadership in architecture, quality, and cross functional collaboration.Key ResponsibilitiesData Engineering & Pipeline DevelopmentAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights and support strategic decisions.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute BigQuery queries for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate ingestion.Support and enhance scheduled pipelines using Apache Airflow to ensure timely, reliable data delivery.Apply Big Data, data modeling, and optimization techniques to design efficient, scalable ETL/ELT pipelines.Analytics & VisualizationDesign and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement gathering, data validation, iterative development, and final reporting.Cloud & Architecture LeadershipWork with cloud data platforms—preferably GCP—to architect scalable, secure, and high performance data solutions.Lead best practices in data engineering including version control, CI/CD, data quality, and performance tuning.Cross Functional CollaborationPartner with business, product, and analytics teams to translate requirements into technical solutions and ensure alignment with organizational goals.Mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.Web UI & Application SupportUtilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.Collaborate with frontend and platform teams to integrate data workflows into user facing tools and internal applications.Preferred Qualifications10+ years of experience in data engineeringStrong expertise in SQL, Python, Pandas, PySpark and distributed data processing.Experience with GCP (BigQuery, Cloud Storage, Composer, Dataflow) or equivalent cloud platforms.Experience in Tableau or Power BI for building dashboard and reports.Proven ability to lead complex data initiatives and drive architectural decisions.Experience working in Agile environments with cross functional teams.

We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.

• Manage Lockout/Tagout (LOTO) procedures and ensure compliance across all contractors.
• Act as the primary liaison between construction, commissioning, and operations teams regarding energy safety.
• Review and approve energy isolation plans and permits.
• Conduct field inspections and audits to ensure adherence to safety protocols.
• Stop unsafe work practices and enforce OSHA and NFPA 70E standards.
• Monitor and report on energy usage and performance metrics.
• Validate mechanical and electrical system performance during commissioning.
• Assist in implementing energy-saving strategies and sustainability best practices.
• Maintain detailed records of energy control activities and compliance metrics.
• Train and mentor teams on electrical safety and energy isolation procedures.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

The Senior Lead Data manages a team to deliver high-impactreporting, analytics and fit-for-purpose data solutions within the ITdepartment. The role partners business stakeholders to translate priorityquestions into actionable insights, sets clear delivery priorities, and coachesteam members on analytics best practices. Supporting reliable data pipelinesand curated datasets (working with internal IT teams and vendors as needed), maintainsagreed data definitions, quality checks, and ensures dashboards and analysesare adopted to support operational and decision-making.

RESPONSIBILITIES

• Lead and develop a data/analytics team: set goals and ways of working, coach and review work quality, support performance conversations, and build capability through mentoring and knowledge sharing.
• Partner business stakeholders to define analytics questions, success measures and requirements; translate needs into clear user stories/briefs, prioritise work, and assign delivery across the team.
• Oversee and (where needed) contribute hands-on to the delivery of dashboards, reports and analyses (e.g., Power BI, Tableau, Microsoft Fabric, Cubot, SQL/Python) that provide timely, trusted insight for operational and clinical stakeholders.
• Maintain curated datasets and data models for reporting and analytics, setting team standards for documentation, reusable logic and peer review of changes (working with relevant stakeholders as needed).
• Own practical data governance for assigned domains (data definitions, access requests/approvals routing, quality checks and documentation) in line with organisational privacy and security requirements.
• Manage the intake and prioritisation of analytics requests; balance demand vs team capacity, track delivery status/risks/dependencies, and provide regular updates on commitments and timelines.
• Drive adoption of analytics outputs by defining validation and sign-off steps, coordinating training and communications, and tracking usage/impact with stakeholders.
• Coordinate with data platform/system owners on pipeline enhancements needed for reporting and analytics; plan team inputs, support UAT, and escalate delivery risks/issues when required.
• Standardise KPIs and reporting logic for assigned areas; maintain a simple metrics catalogue/data dictionary and review dashboards to ensure consistent definitions and quality.
• Where approved, lead delivery of simple predictive or automation solutions by scoping the work, ensuring testing and documentation, and setting up basic monitoring with agreed owners.
• Coordinate vendor and internal IT deliverables for assigned initiatives (e.g., data extracts, fixes, enhancements), validate outcomes with the team, and manage day-to-day follow-ups and escalations.
• Provide input for tooling/licensing needs (business justification, usage and access model) and oversee basic administration activities where required (e.g., workspace access, dataset refresh checks).
• Ensure the team follows applicable privacy and security requirements (e.g., access controls, de-identification where required) and maintain evidence/documentation for audits when requested.
• Continuously improve analytics assets and team ways of working (performance, usability, data quality, documentation and peer review), and propose small, low-risk enhancements.
• Maintain simple ways of working for analytics delivery (intake, prioritisation, documentation and handover), support onboarding, and contribute to data literacy by sharing guides, definitions and best practices.
• Communicate insights clearly to technical and non-technical audiences; coach team members on executive-ready narratives and recommendations, and ensure analysis is documented and repeatable.

• Support analytics adoption by briefing, enabling and coaching business stakeholders on new data products, dashboards and self-service capabilities; contribute to organisation-wide data literacy initiatives.
• Maintain and update data/analytics governance documentation and records (e.g., data dictionaries, definitions, access approvals, SOPs, controls evidence) in accordance with organisational standards and audit requirements.
• Ensure operational continuity of data and analytics services by providing escalation support, coordinating incident/problem resolution with IT and vendors, and arranging coverage for critical deliverables when required.
• Perform other job-related duties as assigned.

REQUIREMENTS

• Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
• 6+ years of relevant experience in data/analytics (BI/reporting, data modelling, and data management), including at least 1–2 years in a people lead/line management role (e.g., coaching, work allocation, performance feedback).
• Working knowledge of data governance and data quality practices (definitions, access controls, documentation) and awareness of privacy/security requirements; able to follow established policies and support audits when required.
• Strong stakeholder management and communication skills, able to translate business problems into analytical solutions and communicate insights as executive-ready recommendations.
• Ability to plan and deliver analytics work using Agile/iterative approaches, including requirements clarification, stakeholder communication, issue/risk tracking and handover of deliverables.
• Strong proficiency with data and analytics technologies (e.g., SQL and Python), BI/visualisation tools, and dimensional/semantic modelling to enable trusted self-service analytics.
• Hands-on understanding of modern cloud data platforms and patterns (e.g., Azure, Databricks, lakehouse/warehouse, ELT/integration), including reliability, performance and cost optimisation considerations.
• Experience applying analytics methods to business problems (descriptive/diagnostic; predictive is a plus), with the ability to document assumptions, validate results and explain limitations to stakeholders.
• Strong strategic thinking, problem solving and decision-making abilities, with a focus on measurable outcomes, adoption and continuous improvement.
• Experience in healthcare or other highly regulated industries, with an appreciation of clinical/operational workflows and data privacy considerations.

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If you do not possess the above experience, your applicationwill still be considered on individual merits and you may be contacted forother opportunities

By submitting your personal data and/or resume, you giveconsent to the collection, use and disclosure of your personal data and/orresume by the company (or its agent) for the purpose of the processing andadministration by company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.**

Overview

Build and maintain scalable data pipelines and platforms to support data-driven applications and analytics.

Key Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

Key Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• Minimum 4 years of experience in data engineering, data platform development, or related roles
• Strong experience in data engineering and pipeline development
• Proficiency in databases, SQL, and data processing frameworks
• Experience with cloud data platforms
• Familiarity with Agile and CI/CD practices
• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data