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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. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [Job Overview] The National Environment Agency (NEA) is the leading public organisation responsible for ensuring a clean and sustainable environment for Singapore. Its key roles are to improve and sustain a clean environment, promote sustainability and resource efficiency, maintain high public health standards, provide timely and reliable meteorological information, and encourage a vibrant hawker culture. NEA works closely with its partners and the community to develop and spearhead environmental and public health initiatives and programmes. It is committed to motivating every individual to care for the environment as a way of life, in order to build a liveable and sustainable Singapore for present and future generations. We are seeking a Senior Data & Platform Engineer to lead the build-out of NEA's Weather Data Lake, a Databricks-based analytics platform replacing the legacy Climate Data Management System (CDMS) and serving as the single source of truth for meteorological and climate data across the Meteorological Service Singapore (MSS). As a forward-deployed engineer, you will own the MSS data platform architecture on the Government Commercial Cloud (GCC 2.0) Azure stack, design and deliver production data pipelines, and mentor junior engineers. This role sits at the intersection of data engineering, software engineering, and cloud platform architecture. As a Senior Data & Platform Engineer, you will be working on: Design and build the Weather Data Lake on Databricks (Unity Catalog, Delta Lake, Structured Streaming) running on ADLSv2 within GCC 2.0. Make and document platform architecture decisions covering compute, storage tiering, governance, and cost management. Architect production data pipelines ingesting from GTS, ADES, AirViro, IWXXM, and WIS 2.0 sources. Build these using Spark (PySpark) on Databricks with CDC patterns and full data lineage. Own the data quality framework. Implement QC pipelines serving both the real-time forecasting path and the post-correction analytics path from a common Azure Blob landing zone. Own the infrastructure as code layer, defining all platform resources (Databricks workspaces, storage, networking, IAM) in Terraform with modular configurations. Establish staging and production environment separation with appropriate retention policies and CI/CD pipelines. Define integration contracts between the Azure Landing Zone (ingestion) and the Weather Data Lake (analytics), ensuring operational systems do not take direct dependencies on the lake. Mentor junior data engineers and software engineers. Conduct code reviews, run architecture workshops, pair on complex pipeline work, and build a culture of engineering rigour. Partner with MSS to translate domain requirements into technical designs meeting the April 2027 CDMS end-of-support deadline, including historical data migration and downstream consumption patterns. Implement data governance using Unity Catalog: access policies, classification, audit logging, and lineage tracking compliant with IM8 and NEA standards. Evaluate platform evolution opportunities including serverless compute, Lakebase, and integration with the Weather Data Hub (Azure APIM) for API distribution. [What we are looking for] Additional Job Description 8+ years in data engineering, platform engineering, or backend software engineering, with at least 3 years in a senior or lead capacity. Strong hands-on experience with Databricks (Delta Lake, Unity Catalog, Structured Streaming, Workflows) and the lakehouse architecture pattern. Deep familiarity with Azure — ADLSv2, Blob Storage, Data Factory, and networking fundamentals (VNet, Private Endpoints, ExpressRoute). Strong Terraform experience for data platform infrastructure: provisioning Databricks workspaces, storage, networking, and IAM in a modular, version-controlled manner. Comfortable with CI/CD in regulated cloud environments. Proficiency in Python and SQL. Solid hands-on Spark (PySpark or Scala) experience building and optimising large-scale data processing on Databricks. Demonstrated ability to make platform architecture decisions, write ADRs, and present trade-offs to technical and non-technical stakeholders. Track record of mentoring junior engineers and raising the engineering bar across a team. Experience with data governance frameworks, data quality tooling, and lineage tracking in production. Experience in GCC 2.0 or equivalent regulated cloud environments with strict change control is highly desirable. Strong communication skills bridging data platform concepts with domain experts, product managers, and leadership. [Nice to have] Experience with CDC patterns (Debezium, Delta Live Tables, or similar). Familiarity with Azure APIM and how data platforms feed downstream API layers. Experience with agentic coding tools such as Claude Code for accelerating development workflows. Prior experience in scientific or environmental data domains. Knowledge of WMO data standards and WIS 2.0. What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs. 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. Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
