# Staff Data Engineer, National Environment Agency (NEA)

**Company**: Government Technology Agency (GovTech)
**Location**: Singapore
**Experience**: staff
**Job type**: contract
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/govtech/jobs/4009636201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-data-engineer-national-environment-agency-28160825-b8a/

## Description

The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

The National Environment Agency (NEA) is the leading public organisation responsible for ensuring a clean and sustainable environment for Singapore. Meteorological Service Singapore (MSS), part of NEA, provides meteorological and climate information for Singapore. We are modernising the systems that ingest, manage, and make this data available for forecasting, climate analysis, and downstream services.

We are seeking a Staff Data Engineer to lead the technical design, delivery, and evolution of MSS's Weather Data Lake. You will help establish a governed, trusted foundation for meteorological and climate data. Working closely with MSS domain specialists and engineering teams, you will translate complex requirements into reliable data pipelines, clear architectural decisions, and maintainable platform capabilities.

**Responsibilities**

- Lead platform architecture and technical direction

- Build reliable data pipelines and quality controls

- Establish secure and maintainable platform foundations

- Grow engineering capability

**Requirements**

- Substantial experience in data engineering, platform engineering, or backend software engineering, typically gained through 8 or more years of relevant work.

- A track record of leading complex technical initiatives, combining architectural ownership with hands-on delivery and collaboration across engineers or teams.

- Strong hands-on experience building and operating production workloads on Databricks, including Delta Lake, Unity Catalog, and Spark-based data processing.

- Proficiency in Python and SQL, with experience developing and optimising large-scale batch or streaming pipelines using Spark.

- Experience building and operating Azure-based data platforms, including Azure Data Lake Storage Gen2, Blob Storage, identity and access management, and private networking.

- Strong Terraform experience, with sound practices for modular infrastructure, version control, and CI/CD.

**Nice to Have**

- Experience with GCC 2.0 or other regulated cloud environments with strict security and change-management requirements.

- Experience with change data capture, incremental processing, and reliable propagation of data updates.

- Experience migrating legacy data systems, including historical data validation, reconciliation, and cutover planning.

- Familiarity with Azure API Management and integrating data platforms with downstream APIs and services.

- Experience with scientific, environmental, or time-series datasets where data quality, provenance, and historical corrections matter.

- Familiarity with World Meteorological Organization (WMO) standards and data exchanges, including WIS 2.0.

- Experience using AI-assisted development tools, with sound practices for reviewing generated code, testing changes, and protecting sensitive information.

**What We Offer**

- GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives.

- Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks.

- We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

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## Skills

### Required
- data engineering
- platform engineering
- backend software engineering
- Databricks
- Delta Lake
- Unity Catalog
- Spark-based data processing
- Python
- SQL
- Azure-based data platforms
- Terraform

### Nice to have
- GCC 2.0
- change data capture
- incremental processing
- legacy data systems migration
- Azure API Management
- scientific datasets
- environmental datasets
- time-series datasets
- World Meteorological Organization (WMO) standards
- AI-assisted development tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/govtech/jobs/4009636201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)