JOB SUMMARY:

We're looking for a Senior Data Engineer to design and build complex data systems independently. You'll tackle challenging technical problems - optimizing query performance at scale, architecting fault-tolerant pipelines, and building high-throughput data services with minimal guidance. This role is for experienced engineers who can take ambiguous requirements, propose solid technical solutions, and deliver production-ready systems end-to-end.

This role requires 5+ years of hands-on experience building data infrastructure in production environments. You'll work independently on substantial technical projects, make sound architectural decisions within your domain, and contribute to raising the technical bar through code reviews and knowledge sharing. You're expected to be self-sufficient in execution while collaborating effectively with engineering, analytics, and product teams.

KEY RESPONSIBILITIES:

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with business analysts, data scientists and backend teams to deliver timely, usable data solutions.

JOB REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Experience: Minimum 5 years in data engineering or related backend engineering roles.
• Tech Stack: Proficient in Python or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure), good understanding of SQL.
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and business analytics teams.

Soft Skills:

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

What We Offer

• Technical Leadership Opportunities: Participate in high-impact projects and lead the design of critical systems.
• Continuous Growth: Access to mentorship, learning resources, and a clear career progression path.
• High-Performance Collaboration: Work with a talented team using modern development practices (Agile/CI-CD).
• Flexibility and Trust: An open culture that encourages innovation and autonomous decision-making.

Job Responsibilities:

•  Perform continuous monitoring, routine patrols, and inspection of data centre infrastructure, critical facilities, and associated equipment.
•  Manage day-to-day maintenance coordination, and escalate any critical troubleshooting requirements that needs to be conducted by manufacturers.
•  Conduct routine checks of M&E and critical systems performance.
•  Record and report daily operating conditions, abnormalities, and system status.
•  Supervise and oversee OEMs, subcontractors, and service vendors performing works on electrical, mechanical, fire, and critical facilities systems.
• Ensure all vendors deliver competent, safe, and quality services in compliance with contractual obligations, site rules, and safety requirements.
• Coordinate and monitor scheduled and ad-hoc vendor activities, ensuring proper documentation and work completion.
• Promptly respond to incidents, alarms, and emergency situations.
• Execute incident escalation in accordance with approved escalation matrices and emergency response procedures.
• Provide standby and emergency support when activated, including shift stand-in or additional coverage as required.
• Ensure proper handover and takeover of duties during shift changes.
• Carry out duties that comply with approved SOPs (Standard Operating Procedures), MOPs (Method of Procedures), and EOPs (Emergency Operating Procedures).
• Carry out all work strictly in accordance with site processes, operational governance, and safety regulations.

Requirements:

• Nitec / Higher Nitec / Diploma in Electrical/Mechanical/DC Infrastructure or relevant engineering discipline (Electrical, Mechanical or related fields)
• Additional certifications relevant to the industry is an added advantage
• 1 -2 yeas experience maintaining electrical, mechanical, fire protection system in facility management, particularly handling critical systems would be an added plus
• Strong problem-solving abilities, communication skills, and the ability to work independently and as part of a team
• Proficient in Computer skills eg. microsoft office, google emails, docs etc
• Shift work & Standby Duty is required

We are looking for a Data Center Engineer who will be supporting mission-critical infrastructure across Singapore. This is a hands-on role where you will be working directly in the data center environments managing the full hardware lifecycle - from deployment to decommissioning - while collaborating with global engineering teams.

What you’ll be doing

• Support installation, maintenance, and decommissioning of server hardware in data centres
• Perform rack & stack, cabling, and hardware troubleshooting
• Work closely with engineers and vendors on infrastructure projects and upgrades
• Follow SOPs for hardware handling, data sanitisation, and asset tracking
• Support day-to-day operations, ensuring uptime and operational efficiency
• Travel between data centre sites within Singapore when required

What we’re looking for

• 1–2+ years in IT infrastructure / desktop / data centre support
• Basic understanding of server hardware, networking (cabling/connectivity), and data centre environments
• Exposure to rack setups, hardware lifecycle (install/decom), and asset tracking tools
• Awareness of power (PDU/UPS) and cooling concepts (hot/cold aisles)
• Familiarity with ticketing tools (e.g. BMC Remedy) is a plus
• Comfortable working in data centre environments (confined spaces / elevated areas)

This is an initial 6-months contract that is renewable with permanent visbility.

We are looking for a skilled and experienced Data Science Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to support the processing and analysis of clinical study and digital device sensor data. As a Data Science Engineer, you will work closely with data scientists and software engineers to ensure the efficient and reliable flow of data from source systems to analytical tools and platforms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to ingest, transform, and load clinical study data from various sources, including digital device sensors.
• Optimize data storage and retrieval processes in cloud-based platforms to ensure high performance and reliability.
• Collaborate with data scientists to integrate data processing pipelines with AI-powered algorithms and third-party analytical tools or platforms.
• Implement data quality checks and monitoring mechanisms to ensure the integrity and accuracy of the data.
• Troubleshoot and resolve issues related to data pipeline performance, reliability, and scalability.
• Work closely with software developers, system architects and other cross-functional teams to develop data-driven business solutions.
• Stay up-to-date with emerging technologies in AI & Cloud computing and best practices in data engineering to continuously improve data processing pipelines and infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and building data pipelines using ETL tools and frameworks such as Apache Spark, Apache Beam, or Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database systems, data warehousing concepts, SQL and NoSQL.
• Experience with AI and Cloud Computing: Hands-on experience with cloud platforms like AWS and familiarity with AI solutions in these environments.
• Excellent problem-solving and troubleshooting skills with a strong attention to detail and quality.
• Effective communication and collaboration skills with the ability to work in a team environment.

Preferred Qualifications:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with big data technologies such as Hadoop, Hive, or Presto.
• Knowledge of distributed computing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with ElasticSearch or AWS OpenSearch is plus
• Prior experience working with healthcare or clinical data is a plus.

Senior Data Engineer

Are you passionate about building scalable data platforms that power business decisions and products at scale?

We're looking for a Senior Data Engineer to join a high-performing engineering team, where you'll play a key role in designing, building, and optimizing modern data platforms. This is an opportunity to work with large-scale datasets, cloud technologies, and real-time data pipelines while having a strong influence on technical decisions and architecture.

What You'll Be Doing

• Design, develop, and maintain scalable data pipelines and data platforms supporting analytics, reporting, and business applications

• Build and optimize ETL/ELT workflows to ensure reliable, high-quality, and accessible data across the organization

• Develop and maintain data models, data warehouses, and data lake solutions

• Improve performance, scalability, and reliability of data processing systems and workflows

• Work closely with Data Scientists, Analysts, Product Managers, and Software Engineers to deliver impactful data solutions

• Drive best practices in data engineering, code quality, testing, monitoring, and automation

• Mentor junior engineers and contribute to a strong engineering culture through knowledge sharing and technical leadership

What We're Looking For

• Degree in Computer Science, Software Engineering, Data Engineering, or a related discipline

• 5+ years of hands-on experience in Data Engineering, Backend Engineering, or related technical roles

• Strong programming experience in Python, Java, or Scala

• Experience working with modern data technologies such as Spark, Kafka, Airflow, Flink, or similar tools

• Solid understanding of SQL, database design, and data modelling concepts

• Experience building and supporting data warehouses, data lakes, and large-scale data pipelines

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform

• Strong problem-solving skills with the ability to design scalable and maintainable solutions

• Excellent communication skills and experience working with cross-functional teams

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the 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 Quesscorp Singapore’s PDPA and e2i’s PDPA

Responsibilities

We are looking for an exceptional Associate Data Scientist to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

• Build and improve AI services using LLMs and custom machine learning models for production use cases.

• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

• Write high-quality Python code that is testable, maintainable, and efficient.

• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

• Contribute to technical design and code reviews, helping raise engineering quality across the team.

• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

• Experience with tool-use agents or workflow-aware AI systems.

• Experience building AI products in enterprise SaaS environments.

• Experience with A/B testing and statistical significance techniques.

• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

SISTIC is Singapore's leading ticketing and event management platform, supporting events across arts, culture, sports, and entertainment. Our Analytics & Data Science team works with promoters, venues, and internal stakeholders to turn ticketing data into clear insights that support better decisions.

As part of AXS, a global leader in ticketing and live event technology, and the wider AEG network, SISTIC combines strong local market knowledge with access to international ticketing expertise, technology, and live entertainment capabilities.

ROLE OVERVIEW

We are looking for a junior-to-mid level Business Analyst, Data & Insights to support the Data team in turning business questions into useful reporting, analysis, and recommendations. This role is ideal for someone who enjoys working with data, asking practical business questions, and communicating findings clearly to non-technical stakeholders.

Working closely with the Data Lead and data engineer, you will help scope reporting requests, clarify basic metrics and definitions, validate data outputs, support dashboard improvements, and prepare insight summaries for client presentations, management briefings, and internal discussions.

ROLES AND RESPONSIBILITIES

Business Analysis, Requirements & Stakeholder Management

▸  Work with internal stakeholders to understand business questions, reporting needs, and decision-making context.

▸  Help translate stakeholder requests into clear analytical briefs, data requirements, and reporting specifications for the Data Team.

▸  Clarify objectives, assumptions, metric definitions, and expected outputs with guidance from the Data Lead.

▸  Coordinate with commercial, marketing, client service, and data teams to keep analytics requests moving and ensure outputs are practical and timely.

Reporting Products, Dashboards & Process Improvement

▸  Support the maintenance and improvement of internal BI dashboards covering sales, patron behaviour, campaign performance, and client activity.

▸  Gather user feedback, note reporting gaps, and document simple dashboard improvement requests.

▸  Assist standardizing recurring reporting templates, metrics, and workflows to improve consistency and reduce manual effort.

▸  Check dashboard outputs, data extracts, and recurring reports against source data before circulation.

Data Analysis, Insights & Recommendations

▸  Analyse patron, sales, campaign, and event performance data to identify useful trends, patterns, and opportunities.

▸  Use existing patron segmentation frameworks to interpret lifecycle groups such as high-value, at-risk, and lapsed patrons, and translate findings into practical next steps.

▸  Support behavioural analyses covering genre preferences, booking patterns, group size, attendance frequency, spend behaviour, and Culture Pass usage.

▸  Summaries analytical findings into clear observations and recommended next steps for client, management, or internal discussions.

Client Deliverables & Business Reporting

▸  Prepare business-ready data packs, insight summaries, and reporting outputs for assigned promoter clients, venues, and internal stakeholders.

▸  Support ad-hoc analyses such as patron retention studies, genre gateway analysis, cohort comparisons, and campaign reviews.

▸  Present findings in plain language, connecting data observations to business implications and suggested actions.

▸  Ensure reports are accurate, consistent, and appropriate for the intended audience, whether for client presentations, management briefings, or internal reviews.

Documentation& Best Practices

▸  Document business rules, metric definitions, reporting logic, assumptions, and data checks in a clear and organised manner.

▸  Write clear SQL and Python code where required, with support from the Data Lead and data engineer.

▸  Adhere to SISTIC's data governance and confidentiality standards, maintaining clear records for patron-level and commercially sensitive data work.

KEY OUTPUTS

▸  Analytical briefs, data requirements, and reporting specifications for dashboard or analysis requests.

▸  Dashboard improvement notes, metric definitions, validation checks, and user feedback summaries.

▸  Client analytics reports, management summaries, and data packs that translate findings into practical business recommendations.

▸  Standardised reporting templates and improved workflows for recurring client, management, and internal analytics outputs.

▸  Ad-hoc analyses, patron segmentation outputs, and insight summaries in response to stakeholder questions and business priorities.

SKILLS AND EXPERIENCE REQUIRED

Business Analysis & Communication

▸  Ability to understand business questions and translate them into clear analytical tasks with guidance.

▸  Good communication and stakeholder management skills, with confidence working across business and technical teams.

▸  Comfortable documenting metric definitions, reporting requirements, workflow notes, and validation checks.

▸  Able to explain data findings in a practical, easy-to-understand way.

Technical Aptitude

▸   Degree or diploma in Business Analytics, Data Science, Statistics, Computer Science, Economics, Information Systems, or equivalent.

Data Handling:

▸  Working knowledge of SQL for querying data, and basic Python or similar tools for data manipulation and analysis. Big Query experience is a plus.

▸  Familiarity with BI or visualisation tools such as Apache Superset, Tableau, or Power BI.

▸  Comfortable interpreting basic segmentation outputs and analytical summaries.

▸  Strong Excel skills for data validation, reconciliation, formatting, and ad-hoc analysis, including VLOOKUP and Pivot Tables.

Preferred

▸  Some exposure to business analysis, product analytics, reporting operations, dashboards, or analytics project work.

▸  Experience preparing simple analytical summaries, reporting notes, user stories, or client-facing reports from data.

▸  Prior internship or work experience in ticketing, media, e-commerce, retail, consulting, business analytics, or a consumer-facing analytics environment.

Professional Attributes

▸   Confidentiality & Integrity: You will handle sensitive commercial data —ticket sales, patron demographics, and revenue figures. A strict adherence to data privacy, confidentiality, and professional discretion is a mandatory requirement for this role.

▸   Attention to Detail: A 'measure twice, cut once' mindset. You double-check your queries and outputs to ensure accuracy before passing work to the Data Lead or out to clients.

▸   Commercial Curiosity: A genuine interest in understanding patron behaviour, client needs, and the events ecosystem — you ask sharp questions and look for the business meaning behind the data.

▸   Clear Communicator: You can turn a stakeholder request into a clear brief, and a data table into a sentence a promoter or senior manager would immediately understand.

▸   Collaborative: You work well across teams and communicate proactively when priorities shift or data looks unexpected.

WHAT WE OFFER

▸   Exposure to real-world business analysis and analytics work across client reporting, dashboard improvement, patron behaviour analysis, and commercial decision support.

▸  Direct collaboration with the Data Lead and a small, high-trust team where your ability to connect business needs with data outputs will have immediate impact.

▸  A clear path to build stronger business analysis, reporting, analytics delivery, and stakeholder management skills as SISTIC's analytics capability grows.

▸  Access to one of Singapore's richest live-event patron datasets, spanning arts, entertainment, sports, and cultural programming.

▸  A role that develops your business analysis, technical, commercial, and communication skills in equal measure.

Application Note

To facilitate screening, please explicitly include a proficiency rating (Beginner / Intermediate / Advanced)for the following in your application: SQL, Python, and any BI tools used.

Job Details:

• Salary: $3,200 - $3,400
• Location: Paya Lebar
• Working Hour: Mon-Fri 830am-530pm

Job Scope:

• General HR support
• HR documentation
• Recruitment support
• Employee onboarding

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

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to 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.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

Responsibility

• Assists day-to-day operation by picking up the phone calls/email/walk-ins/ticketing system to understand user’s enquires/request, provide IT support and perform troubleshooting or escalate to the relevant PIC, or provide alternatives to resolves the cases.
• Identification, maintenance and replacement of electronic equipment and computers.
• Liaise with government agency on return and collection of faulty or repairedequipment.
• Perform troubleshooting in systems and report the status to superior on time without delay .
• To support project from another team/section/department as instructed by superior .
• To perform any ad-hoc assignment as instructed by superior .

Requirements

• Diploma or Higher Nitec studied in IT or related fields
• Preferable with at least 1 year of relevant working experience
• Responsible, meticulous, fast learner and able to understand the internal system process quickly
• Able to follow the internal systems thoroughly to make sure the tasks are smoothly process

Interested applicants, please Email , and look for

Jensen Fang Lifa

jensenfang@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s 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 agency 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.

What we are looking for:

• 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 with Databricks.

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

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

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

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

• 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.

• Experience in Climate and Weather domains will be an advantage.

This will be a 2-years direct contract position.

Responsibilities

• Data science developments.
• Lead project scoping discussions.
• Translate complex business requirements into technical solutions.
• Design, implement, and optimise end-to-end ML/AI solutions with improved performance and scalability.
• Systematically benchmark and evaluate multiple approaches, applying advanced techniques to solve complex business problems.
• Architect scalable solutions using cloud-based services and best practices, and design and implement robust data pipelines and LLM/MLOps workflows that improve efficiency and reduce operational costs.
• Deploy models to production environments with comprehensive monitoring, alerting, and maintenance procedures.
• Champion responsible AI practices, proactively identifying and mitigating ethical and governance risks.
• Collaborate with peers and stakeholders to ensure tasks are executed effectively, addressing minor conflicts constructively and respectfully, and suggesting improvements that enhance team effectiveness.

Requirements

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines. Minimum 2 years of relevant experience in data science and/or public sector.
• Able to business use cases into analytical problems and identifying appropriate data sources.

Proficient in

• Writing scripts for data preparation and analysis, using modern analysis tools and programming methodologies.
• cleaning, imputing, and correcting anomalies in the collected structured or unstructured data.
• Exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
• Building machine learning models to identify, recognise patterns, and make predictions.
• Design principles and use of visualisations to best convey the intended information.
• Developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated into the data systems for real time visualisation of information.
• Translating results from analysis of work into actionable recommendations for stakeholders.
• Communicating results and business impact from analysis work in a coherent data story for stakeholders.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to 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. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

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Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

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With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

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At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative 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 a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Responsibilities：

• Take full ownership of the comprehensive data analysis for core game products.
• From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives.
• Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration.
• Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets.
• Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products

Qualifications：

• Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines.
• Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems.
• Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments.
• Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently.
• Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills

We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!