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Open nowPosted today

Senior Data Engineer

MyCareersFuture101,380 open roles

Pay
SGD 9,000 – SGD 13,000 a month
Where
Singapore
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Your applicationOpen nowSenior Data EngineerMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted today

MyCareersFuture median: 4 days open

The posting

Our client, one of Asia-Pacific’s leading organizations is looking for:

Senior Data Engineer Responsibilities:

  • Leads the architecture, design, and implementation of ETL processes, workflows, and data pipelines for the ingestion, transformation, and integration of data from multiple source agencies.
  • Build and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks, including dependency management, failure handling, recovery, and operational monitoring.
  • Develop and maintain modular, production-quality code for statistical production processes, including uplifting of legacy processes while preserving business logic and reconciling outputs against existing results. Review complex business logic and provide technical direction for migration and modernisation activities.
  • Lead database and data model design, including schema design, storage patterns and performance optimisation for large-scale statistical datasets.
  • Design and drive the adoption of reusable data engineering components such as common libraries, configuration frameworks, logging standards, and utilities to streamline production workflows and promote consistent engineering practices across the team.
  • Design and implement CI/CD for data engineering workflows to automate testing and deployment, and establish workflows to safely isolate and synchronise Development, UAT, and Production environments.
  • Lead the design and configuration of complex pipeline workflows and schedules using enterprise tools, including dependency management, failure handling, recovery and operational monitoring.
  • Establish version control structures using GitLab, set up code review frameworks, and document technical architectures. Provide technical reviews for solution designs, merge requests and implementation approaches, and promote appropriate engineering standards across the development team.
  • Troubleshoot production incidents, monitor pipeline health, and continuously optimise system performance for large-scale datasets. Lead the investigation of complex production issues, identify root causes, and implement preventive and performance improvement measures.
  • Lead and provide technical guidance and mentoring to data engineers, including support on coding practices, solution design, troubleshooting and implementation decisions.
  • Collaborate with technical team, business users and other stakeholders to translate complex business and statistical processing requirements into robust technical solutions.
  • Identify technical risks, dependencies and improvement opportunities, and recommend appropriate design or implementation approaches.

Requirements:

  • Degree in Information Technology, Computer Science, Information Systems, or a related discipline.
  • 5-8 years of professional experience in data engineering, data platform development, or a related software engineering role, with demonstrated experience designing and implementing production-grade data solutions at scale.
  • Strong proficiency in Python and SQL, including experience in complex data transformations, analysis, and quality monitoring, with the ability to design, review and optimise complex processing logic.
  • Strong experience with batch processing, ETL, data integration and data pipeline architecture.
  • Strong working knowledge of Linux/Unix environments, shell scripting and command-line tools for data processing
  • Strong understanding and practical application of software engineering practices such as modular design, configuration management, logging, exception handling, testing, and technical documentation, with experience defining or applying engineering standards for production systems.
  • Experience with designing technical solutions and making engineering trade-off decisions involving performance, maintainability, scalability and operational reliability.
  • Experience with leading or providing technical guidance for data pipeline development, system migration or modernisation initiatives.
  • Experience with conducting code reviews and mentoring or providing technical guidance.
  • Experience with version control using Git, including branching strategies, merge requests, code review, and CI/CD pipelines for automated testing and deployment
  • Experience with cloud platforms and orchestration/CI-CD tooling is preferred.
  • Excellent problem-solving, analytical, and communication skills, with the ability to work independently in an agile team environment while providing technical leadership when resolving complex engineering problems.

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Senior Data Engineer"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636 EA Personnel Name: Jagveer Singh Arora EA Personnel Registration Number: R22109615

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.

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