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

Responsibilities

About the team

Seed Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.

As a key member of our Global Data Team, the project intern will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse datasets. This role focuses on overseeing and improving operational workflows, primarily for safety-related projects, ensuring they are delivered with high quality and efficiency.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Research and participation in model safety workflows to identify limitations in and support the improvement of model safety and existing evaluation paradigms. This may involve:

- Conducting academic and industry research on the AI safety landscape.

- Performing systematic human or automated evaluations of model outputs for safety, bias, and harmful content.

- Scoring, categorizing, and comparing different models' responses using established safety rubrics.

- Evaluating existing evaluation frameworks and surfacing feedback on areas of improvement.

- Preparing documentation/summaries on evaluation and research findings with detailed assessment reports for stakeholders.

Please note that this role may involve exposure to potentially harmful or sensitive content, either as a core function, through ad hoc project participation, or via escalated cases. This may include, but is not limited to, text, images, or videos depicting:

- Hate speech or harassment

- Self-harm or suicide-related content

- Violence or cruelty

- Child safety

Support resources and resilience training will be provided to support employee well-being.

Qualifications

Minimum Qualifications

- Currently pursuing Bachelor's or Master's degree in AI policy, Computer Science, Engineering, Journalism, International Relations, Law, Regional Studies, or a related discipline.

- Basic understanding of prompt engineering and large models, interest and familiarity with AI safety concepts (bias, toxicity, harmful content, etc.)

- Strong analytical skills, with the ability to interpret both qualitative and quantitative data, and exceptional communication skills in English to translate them into clear insights.

- Creative problem-solving mindset, with comfort working under ambiguity and leveraging tools and technology to improve processes and outputs.

Preferred Qualifications:

- Experience in AI safety, Trust & Safety, risk consulting, or risk management is highly desirable.

- A growth mindset, with a genuine receptiveness and enthusiasm for continuous learning. Readiness to actively solicit and apply constructive feedback. Intellectually curious, self-motivated, detail-oriented, and team-oriented.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com

Duration: 1 year

Working Hours: 8.30am - 6pm, Monday - Fridays. Standby and shift work may be required

Location: Central

Responsibilities:

• Architect and implement scalable and resilient data pipelines, ensuring efficient data ingestion, processing, and storage in a cloud environment.
• Coordinate cross-functional teams, including business leads, system owners, architects, engineers, and external vendors to deliver high impact solutions.
• Develop and enforce policies and procedures for data management, ensuring the integrity and confidentiality of sensitive data.
• Develop and implement the strategic vision for the data analytics platform, ensuring alignment with organizational goals and objectives.
• Drive innovation by researching and proposing new tools, methodologies, and frameworks to enhance data analytics capabilities.
• Enhance cloud capabilities by developing and implementing cloud application patterns, automating cloud services using infrastructure as code (IaC) tools such as CloudFormation and Terraform.
• Ensure compliance with industry standards, regulatory requirements, and best practices in cloud security, data governance, and access control.
• Foster a culture of continuous improvement, encouraging team members to develop new skills and approaches to problem-solving.
• Implement robust project management practices, including risk management, stakeholder engagement, and performance tracking.
• Lead the design, development, and maintenance of a robust cloud data platform architecture, leveraging Databricks Lakehouse, AI, and ML technologies.
• Manage a portfolio of data analytics projects, ensuring they are delivered on time, within scope, and budget.
• Monitor and audit cloud resources to ensure they adhere to security guardrails and best practices.
• Oversee the creation of blueprints, roadmaps, and reference architectures for the data analytics infrastructure and services.
• Oversee the integration of diverse data sources, ensuring data quality and consistency, and facilitate the transformation of data into actionable insights through AI and ML models.
• Provide expert guidance on data warehouse solutions, advanced analytics, data modeling, and the implementation of Databricks Lakehouse.
• Stay abreast of emerging technologies and trends in data analytics, cloud computing, AI, and ML.
• Utilize modern cloud application architectures, including microservices, containerization, and serverless computing, to optimize performance and cost-efficiency.

Skills:

• Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.
• Deep understanding of machine learning (MLOps), data visualization (e.g., Power BI, Tableau), and event-driven architecture.
• Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.
• Experience in data modelling, data transformation, and statistical computing (e.g., R, Python).
• Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.
• Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.
• Expertise in cloud-native technologies and services, including microservices, serverless computing, and containerization (e.g., Docker, Kubernetes).
• Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.
• Proficiency in databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks), data repositories (e.g., data lakes, data marts).
• Strong knowledge of cloud data platforms, including architecture design, data integration, and the implementation of scalable data pipelines.

Requirements:

• Ability to translate business requirements into technical solutions and manage delivery timelines.
• Ability to troubleshoot complex technical issues related to AI model deployment and cloud infrastructure.
• AWS Cloud Practitioner or AWS Architect certification.
• Databricks Certified Data Engineer Associate or Professional certificate a plus.
• Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.
• Excellent program and project management skills, including the ability to prioritize tasks, manage resources, and meet deadlines.
• Experience coordinating cross-functional teams including developers, cloud engineers, and possibly data scientists.
• Experience interacting with analytics stakeholders, including clinicians, policy makers, and economists.
• Experience mentoring and providing technical guidance to developers and engineers.
• Familiarity with healthcare informatics and data governance in the healthcare sector.
• Knowledge of cloud security best practices, identity and access management, and data privacy considerations relevant to AI workloads.
• Minimum of 10 years of experience in data analytics, with at least 5 years in a management role managing large-scale data analytics projects.
• Proficiency in cloud-native architectures and services on both Azure and AWS.
• Project Management Professional (PMP) or similar certification is highly desirable.
• Proven experience with AWS cloud services, including setting up and managing cloud infrastructure, and deep expertise in Databricks Lakehouse and AI/ML technologies.
• Strong interpersonal and communication skills, with the ability to engage and influence stakeholders at all levels.
• Strong leadership abilities with a track record of managing high performing teams and complex projects.
• Track record of leading end-to-end delivery of generative AI projects or AI-powered platforms.

Interested parties, please click the "Apply Now" below. We regret that only shortlisted applicants would be notified.

Evonne Png Wen Xuan | REG No : R22105531
PERSOL SINGAPORE PTE LTD | EA License No : 01C4394

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.persolsingapore.com/policies, You acknowledge that you have read, understood, and agree with the Privacy Policy.https://www.persolsingapore.com/policies

Job Summary

An exciting opportunity for Data Analyst to work on projects for compliance surveillance systems support in processing analytics data, for a reputed bank. 

Mandatory Skill-set

• Degree or Diploma in Software Engineering, Computer Engineering, Information Technology and related Discipline;
• Ability to work independently with Python and SQL and strong ability to process large volume of data;
• Has knowledge and experience of creating Dashboards – either PowerBI / Tableau / Qlik;
• Must have understanding of Rules Based and Machine Learning models;
• Excellent interpersonal, communication skills and able to function with multiple teams;
• Proactive with a go-getter attitude.

Desired Skill-set

• Experience in AML/CFT;
• Familiarity with SWIFT transactions and/or sanctions screening;
• Work experience in banking industry.

Responsibilities

• Collaborate with business units to investigate and resolve reported issues or queries related to compliance surveillance systems;
• Process and analyze data to assist with investigations into Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT);
• Perform tuning and optimization to enhance the functionality and efficiency of compliance surveillance systems;
• Refine and optimize machine learning models to improve compliance monitoring and detection capabilities;
• Participate in projects focused on the maintenance and enhancement of compliance surveillance systems and provide support for analytics data processing;
• Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
• Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

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

In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.

Being a Senior Manager in the Data Science team, you will play a critical role in developing the next generation of retail measurement solutions we offer our clients, powered by algorithms, ML and AI and leveraging large volumes of internal data, client data and third party data.

You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, through prototyping and productionalization, to “Go to Market” strategy, you’ll be learning and exploring the newest technologies & applications for data architecture, and data modelling solutions. You will work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation.

On a daily basis you’ll be expected to:

• Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day
• Translate Clients’ requirements to actionable solutions or products
• Ideate and develop solutions for the product innovation pipeline
• Define the given business problem as a scientific research problem
• Define and own the roadmap of R&D and prototyping solutions
• Research solutions, set and execute experiments, prototype the solution and support Technology team on productionalizing them
• Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs
• Test and optimize those models using big data. Fine tune parameters and iterate.
• Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it
• Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.

Role requirements:  (E=essential, P=preferred)

• E - Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background. PhD level in the area is a plus.
• E - 10 years of experience in data science/research
• E - experience in independently leading and owning end-to-end research related projects
• E - Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc.
• E - Proficient in Python and its most common data science libraries.
• E - Experience with cloud computing and storage software, ETL
• E - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec.
• E – Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes.
• P - Domain in managing clients and proven experience of solving complex client requirements.
• P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership.

Job Responsibilities:
As a Data Scientist on our team, you will:

Design and deploy end-to-end machine learning solutions to solve diverse businesschallenges such as:

• Using LLMs to allow users to interact with internal business systems
• Understanding and classifying Product Images
• Structuring and extracting insights from text data
• Inferring product attributes
• Detecting anomalies
• Matching products across catalogs

Maintain and optimize existing models to improve performance and maximize business impact
Collaborate cross-functionally with product managers, data analysts, software engineers, DevOps, and solution architects to translate ideas into scalable solutions
Integrate LLM and ML models into business processes, working closely with multidisciplinary development and business teams
Continuously grow your technical expertise, staying up to date with the latest tools, frameworks, and best practices in data science
Document model development workflows to ensure reproducibility and transparency
Communicate complex technical concepts clearly and effectively to non-technical stakeholders throughout the development lifecycle

Requirements
We’re looking for someone who brings:
Proficiency in Python and its data science ecosystem (e.g., NumPy, pandas, matplotlib,seaborn, scikit-learn, TensorFlow and/or Keras)
At least 1-2 years of hands-on experience in data science roles, with a focus on:

• Natural Language Processing (e.g., categorization, Named Entity Recognition)
• Content Generation (e.g., Using LLMs to create marketing copy)
• Computer Vision (e.g., image classification, object detection)

Proficincy using LLM for multiple tasks, including Image classification, question answer and tool use
Strong coding practices, including writing clean, well-documented, and maintainable code
Experience with version control systems, such as Git
Solid understanding of relational databases and SQL
Excellent communication skills in English, both written and verbal
Proven ability to collaborate and present to stakeholders with varying levels of technical expertise

Nice to Have
Experience with Azure ML Workspace or other cloud-based ML platforms
Experience with LLM tools such as PromptFlow, Microsoft Agent Framework, LangChain, LangGraph
Familiarity with spaCy and Hugging Face Transformers
Experience working with architects, test engineers, platform engineers, and other data scientists in a collaborative environment

We’re hiring a Data Analyst to establish a dedicated analytics owner for dashboards, definitions, deep-dive analysis and instrumentation quality. This role exists because analytics and reporting are currently spread across product leaders as part of the job, creating bottlenecks, manual reporting, inconsistent answers and limited capacity to move beyond baseline reporting into deeper insight.

What you’ll do

You’ll work closely with senior stakeholders across Engineering, Product, Sales, and Content Engineering, Content and Subscriptions. Your responsibilities will include:

• Company dashboards and reporting - Design, build and maintain dashboards used by teams across the business whilst establishing single-source-of-truth reporting where possible.
• Provide bespoke reporting and analysis, delivering fast, accurate ad hoc insights and clear recommendations that explain performance, identify issues and quantify opportunities.
• Act as the go-to analytics partner for the Partnerships team, delivering partner-ready reporting and audience insights across web, email and campaigns to support renewals, upsells and stronger commercial conversations. Also support Product, Content and Subscriptions with clear, scalable reporting that improves decision-making and enables more effective self-serve access to data.
• Contribute to our analytics strategy by improving how we measure performance as our tools and practices evolve. Partner with Product and Engineering to strengthen tracking, instrumentation and data quality, and support experiment design, measurement plans and post-test analysis so teams can make better decisions with confidence.

What success looks like

• Foster and enable more of an experimentation approach and improved use of data within our product and engineering team.
• Partner reporting becomes a commercial advantage - improving reporting quality, reducing manual effort and supporting renewal and expansion conversations
• Richer audience and channel insights that help Product and Content improve traffic, repeat habits, recirculation and overall engagement
• Stronger email and lifecycle analytics across the network, especially as Braze comes online.
• A stronger measurement foundation for subscriptions, promotions and funnel experiments, with clear baselines and readouts

What we’re looking for:

Must-haves

• Experience with BI tools such as Looker, Tableau or similar platforms
• Proven experience building, maintaining and improving dashboards and reports that non-technical stakeholders actively use
• Deep digital analytics knowledge, with expert-level GA4 experience and a strong understanding of event-based measurement, attribution limitations and best-practice reporting
• Experience working with data warehouses and large datasets, such as BigQuery, Snowflake, Databricks or similar environments, and strong SQL. 
• Strong email analytics capability, including lifecycle performance, cohort behaviour, engagement and downstream impact
• Experience partnering with product managers on experimentation, including test design, measurement plans and post-test analysis
• Strong communication skills - you can explain complex analysis simply and turn insight into action
• Comfort using AI tools and emerging technology to improve efficiency, analysis quality and insight accessibility

Nice-to-have

• Braze experience, particularly reporting concepts and data exports
• Experience in media, content, subscriptions or audience-led digital businesses
• Exposure to data modelling and structured dataset design
• Experience with analytics implementation, including tracking plans, tag management and data layer design

Why us?

• Be part of a high-growth scale-up as we change the way people invest
• Work with an awesome team with experience from some of the fastest-growing and most successful start-ups in Australia
• Work in a flexible environment that understands that people have busy lives outside of work
• The opportunity to interview some of Australia's best investors and learn more in 6 months than you would in 5 years elsewhere.

There are perks too:

• Flexibility first - we all have rich and full lives outside of work that matters too
• Learning and training budget - keep learning and growing
• Team events - from trivia to escape rooms to runs - there's something for everyone
• Snacks, drinks (because that matters... right?!)

If you are interested in this role, please send a resume. To make your application stand out, feel free to include a cover letter.

Job Purpose

To support the ISO Tank team by ensuring accurate and timely entry ofoperational, shipment, and customer data into internal systems. The role willassist with documentation, record maintenance, and administrative support tohelp ensure smooth and efficient day-to-day operations.

Key Responsibilities

• Enter and update ISO Tank shipment, booking, customer, and operational data in internal systems
• Maintain accurate records of tank movements, booking details, schedules, and related documentation
• Verify data accuracy and completeness before submission or update
• Review shipping and operational documents and follow up on missing or incorrect information
• Support documentation processes related to ISO Tank operations
• Organize and maintain electronic and physical files in accordance with company procedures
• Assist with data clean-up, backlog updates, and routine reporting
• Coordinate with operations, customer service, and documentation teams for data clarification where required
• Ensure confidentiality and proper handling of operational and customer information
• Provide general administrative support to the ISO Tank team as needed

Requirements

• Diploma or equivalent qualification
• Previous experience in data entry, administration, shipping, logistics, or supply chain preferred
• Good attention to detail and accuracy
• Proficiency in Microsoft Office, especially Excel
• Ability to work under pressure and manage high volumes of data
• Good organizational and communication skills
• Able to commit to a 6-month temporary contract

About Our Client

Our client is a well‑established A1main contractor with a strong regional track record in delivering large‑scale, complex and mission‑critical developments, including data centres. Known for its robust engineering culture, integrated in‑house delivery and strong emphasis on quality and safety, the organisation continues to expand its data centre portfolio across Southeast Asia.

About the role

The Head of M&E (Data Centre Projects) is the senior technical authority responsible for M&E strategy, governance and delivery across all data centre projects. The role provides leadership from design through construction, commissioning and handover, working closely with project leadership to ensure consistency, technical excellence and delivery certainty. The position reports functionally to the Head of M&E and operationally to the Project Director for Data Centre projects, with details to be shared during the interview process.

Key Responsibilities

M&E Leadership & Data Centre Delivery

• Act as the overall M&E lead for all data centre projects, setting technical direction, standards, and best practices.
• Lead end‑to‑end M&E delivery from planning, design coordination and permitting through construction, commissioning and final handover.
• Ensure projects are delivered in line with programme, budget, quality, reliability, and performance requirements typical of mission‑critical facilities.
• Provide technical oversight and decision‑making on complex M&E systems including power, cooling, redundancy, and resilience strategies.

Project& Stakeholder Management

• Manage and coordinate all M&E interfaces with internal teams, consultants, specialist contractors, vendors and suppliers.
• Act as the key M&E liaison with clients, consultants, and authorities to ensure alignment with project objectives and regulatory requirements.
• Chair and lead M&E‑related coordination and progress meetings, driving timely resolution of technical and delivery issues.
• Monitor progress, quality, and risk across active data centre projects, intervening where necessary to protect outcomes.

People & Team Leadership

• Lead and develop the internal M&E production teams and coordinators across multiple projects.
• Provide mentoring, technical guidance, and capability development for senior and mid‑level M&E staff.
• Promote a culture of accountability, collaboration, and continuous improvement within the M&E function.

Procurement & Governance

• Oversee procurement of M&E consultants and contractors, including scope development, tender evaluation and contract negotiations.
• Ensure all procurement and commercial activities comply with internal governance, compliance, and risk frameworks.
• Support tendering and pre‑construction activities for new data centre projects, providing expert M&E input.

Digital Engineering & BIM

• Lead M&E design coordination using BIM and digital delivery tools.
• Support and participate in the organisation’s Virtual Design & Construction (VDC) initiatives to enhance coordination, constructability and efficiency.

Safety, Compliance & Risk

• Ensure all M&E works comply with statutory requirements, industry codes, and project‑specific standards.
• Champion safety, quality and risk management across all M&E activities.

Requirements

• Degree in Mechanical or Electrical Engineering from a recognised university.
• Minimum 15 years of M&E experience with an A1 main contractor, delivering large‑scale and complex building projects such as data centres, commercial developments, mixed‑use projects or mission‑critical facilities.
• Strong, hands‑on experience in data centre M&E systems and full project lifecycle delivery.
• At least 10 years of people management experience, with a proven track record of leading and developing high‑performing teams.
• Demonstrated experience in tendering, procurement, and evaluation of consultants and contractors.
• Deep technical knowledge of mechanical and electrical systems.
• Strong leadership, stakeholder management, and communication skills.
• Commercially astute with sound risk and governance awareness.
• Able to operate effectively in fast‑paced, complex and multi‑project environments.
• Proactive, resilient, and solutions‑oriented leadership style.
• The role involves regional travel to support data centre projects outside Singapore (e.g. Kuala Lumpur, Johor, Batam), with frequency determined by business needs and project stages.

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.

The Opportunity

• Opportunity to work in a national digital and transformation agency
• Mon-Thur: 8:30am-6pm, Fri: 8:30am-5:30pm
• Nearest MRT: Pasir Panjang
• Salary: up to SGD 3,450
• 11 months contract

The Talent

• Exposure to Tableau is an advantage
• Minimum degree in a data-related or relevant field
• Proven ability to develop and implement communication strategies with strong written and verbal skills
• Experience in planning and managing events, with proficiency in project management and collaboration tools
• Strong analytical and problem-solving skills, able to work effectively with stakeholders

Job Description

• Maintain and update the Data Policy Dashboard using Tableau, ensuring accuracy and alignment with policy requirements
• Support basic data preparation, validation, and visual enhancements for dashboards and reports
• Coordinate with internal teams to translate policy or operational data into clear visual insights
• Support planning and execution of internal engagement and change initiatives, including events and brown bag sessions
• Provide administrative, procurement, and governance support, including vendor coordination, data request reviews, policy compliance, and cyber/data protection awareness

Next Step

Prepare your updated resume, send to the following email: eugene.chia@adecco.com or contact +65 87230071 for quick response

*Only shortlisted candidates will be contacted*

Eugene Chia
Direct Line: 6697 7809
EA License No: 91C2918
Personnel Registration Number: R24124644

Job Description:

• Independently perform data profiling, root cause analysis and analyze Source to Target Mappings documents, data dictionaries to identify data issues and assist with implementing feasible solutions post alignment with Business and Technology stakeholders
• Troubleshoot database and data pipeline issues efficiently.
• Work with Line of business teams (Source) & AML Business to understand business requirements and compile Functional/Technical specification documents.
• Independently assess and further improve existing documentation to ensure end-to-end processes performed by the team are captured for traceability purposes.
• Define and Develop Data Quality requirements and controls for Financial Crime & Risk Management systems (Oracle - Transaction Monitoring and Customer Risk Rating solutions)
• Engage relevant stakeholders and participate in triage meetings globally and collaborate with required stakeholders to determine fix for data issues identified.
• Perform end-to-end Root cause analysis across Data Issues identified including exceptions identified and work with respective stakeholders to remediate DQ issues

Job requirements (Minimum):

• University Degree, in technology/ engineering
• Minimum of 7 - 10 years of experience working in a financial institution, preferably in a Global Bank
• Minimum of 7-10 yrs of working experience in PL/SQL, including query optimization, stored procedures, and indexing (Preferably in Oracle based tools)
• Understanding of the Compliance domain and concepts i.e., Anti-Money laundering (AML), Know your Customer (KYC), Customer Risk Rating etc. is a must
• Minimum of 7 years of experience in data (data lifecycle, data governance, data quality, Metadata, Data issue resolution and other data concepts)
• Experience with Informatica ETL Tool is a must
• Must be extremely comfortable overlapping with teams in different time zones (US & SG) and working in Wipro location (on-site)
• Minimum of 3 years of experience in System testing, Data Issue - Exception Management and resolution

Skillset:

• Critical Thinking and Problem solving
• Good Communication & Articulation skills
• Adaptability
• Collaboration
• Interpersonal skills
• Decision making

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Spark (PySpark) and related technologies
• Build and manage data architectures, including data lakes, warehouses, and operational data stores (ODS)
• Develop and maintain Data APIs to support data access and integration across systems
• Work with large-scale distributed systems using the Hadoop ecosystem (Hadoop, Hive, HDFS)
• Implement and optimize data models, ensuring efficient storage and retrieval
• Collaborate with cross-functional teams (data scientists, analysts, and business stakeholders) to understand data requirements
• Ensure data quality, integrity, and governance across all data platforms
• Contribute to the design and implementation of Master Data Management (MDM) solutions
• Monitor and optimize performance of data processing jobs and workflows
• Document data processes, architectures, and technical solutions

Requirements

• 2–6 years of experience in software engineering or data engineering
• Strong programming skills in Scala/Java and Python
• Hands-on experience with ETL processes and Apache Spark (PySpark)
• Solid experience working with the Hadoop ecosystem (Hadoop, Hive, HDFS)
• Experience designing and developing Data APIs
• Strong understanding of data modelling, ODS, and MDM concepts
• Proven experience building data frameworks and architectures

Nice-to-Have

• Experience with data warehousing, data lakes, and data optimization techniques
• Basic understanding of Artificial Intelligence (AI) and Data Science concepts
• Experience with BI tools such as Tableau (dashboarding and reporting)

​ Our Client is an established company in Singapore, who is seeking to recruit a Senior Data Engineer (Data Science/ Artificial Intelligence).

Senior Data Engineer (Data Science/ Artificial Intelligence)

This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the users to elicit useful business information that enables you to perform your job.

Responsibilities

· Translate data requirements from business users into technical specifications.

· Collaborate with IT teams on technology stack, infrastructure and security alignment.

· Build out data product as part of a data team:

· Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

· Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

· Construct, test, and update useful and reusable data models based on data needs of end users.

· Design and build secure mechanisms for end users and systems to access data in data warehouse.

· Research, propose and develop new technologies and processes to improve data infrastructure.

· Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

· Maintain data catalogue to document data assets, metadata and lineage.

· Implement data quality checks and validation processes to ensure data accuracy and consistency.

· Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

Requirements

· A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

· Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

· Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

· Experience in architecting data and IT systems.

· Experience with orchestration frameworks such as Airflow, Azure Data Factory.

· Experience with distributed data technologies such as Spark, Hadoop.

· Proficiency in programming languages such as Python, Java, or Scala.

· Proficiency in writing SQL for databases\

· Familiarity with building and using CI/CD pipelines.

· Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

· Experience in designing, building, and maintaining batch and real-time data pipelines.

· Experience with Databricks.

· Experience with implementing technical processes to enforce data security, data quality, and data governance.

· Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to jobs@jjconsulting.com.sg stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

Your new company

Our client in public sector is looking for an experienced Senior Data Scientist to join their team.

Your new role

• Embed data, analytics, and predictive intelligence into everyday decision-making.
• Build predictive models to surface early warnings, risks, and proactive intervention triggers.
• Partner with product teams to define hypotheses, experiments, and user‑centric insights.
• Translate complex data into clear, strategic recommendations and product enhancements.
• Ensure ongoing model performance, fairness, and real‑world impact on client outcomes.
• Own data stewardship: dashboards, visualization, quality standards, and long‑term analytics roadmap.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• 7+ years’ experience in data science or product analytics within outcome‑driven organizations.
• Strong proficiency in SQL and Python for large‑scale data analysis.
• Advanced expertise in statistics and machine learning for insight generation.
• Hands-on experience with data pipelines, databases, analytics tools, and model deployment.
• Strong stakeholder engagement skills, effectively bridging technical and non‑technical teams.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

2+ years of experience in B2B, lead generation or marketing analytics.

2+ years of recent SQL & Python experience with a deep understanding of structure and unstructured databases

Basic understanding of Python, R or other language to performance data analytical tasks

Working knowledge in relevant technologies –Salesforces, Teradata, Big Query, Notebooks

Able to drive collaboration within a matrix ed environment.

Bachelor’s degree (Computer science, Information technology, or a similar field.) – MBA or advanced quantitative degree is a plus.

We are looking for a skilled Data Engineer with hands-on experience in workflow orchestration, data integration, and cloud-based big data platforms. The role focuses on migrating and re-platforming existing integration workflows, building reliable ETL pipelines, and contributing to Lakehouse-style data architectures that support both batch and streaming workloads.

The ideal candidate has practical experience working with integration platforms, structured data ingestion, and distributed data processing frameworks, and is comfortable operating in non-trivial enterprise environments with multiple applications, data volumes, and operational constraints.

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality &Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

What Success Looks Like in This Role

• Existing workflows are successfully re-platformed with minimal disruption.
• Data pipelines are stable, observable, and easy to operate.
• Platform limitations are addressed through clean, maintainable automation.
• Data ingestion and processing meet performance and reliability expectations.
• Stakeholders trust the data pipelines and integration workflows in production.

5 day week @ AMK area

Maestro HR
damien lee tian hong
R1106726
16C8462