Senior Backend Engineer (Data Engineering)

Senior Software Engineer (Data Engineering)

Working Hours: Mon-Fri (Hybrid) Remuneration: Up to $11,000 + AWS Employment Type: Contract (1 year renewable with chances of conversion)

JOB OVERVIEW

We are seeking an experienced Full Stack Engineer to join a data-focused engineering team within a Singapore government agency. This role owns the systems that collect, structure, and serve data across the organisation's products, while also contributing to broader application architecture as priorities evolve. It's a hands-on, highly autonomous role suited to someone comfortable leading technical direction rather than just executing a fixed spec.

RESPONSIBILITIES

• Take ownership of data pipelines from end to end — how data is collected, processed, and made available downstream
• Design data structures and storage approaches that serve both day-to-day operational needs and analytical use cases
• Build tooling and processes to monitor data quality, reliability, and governance
• Contribute to wider system and product architecture alongside other engineers as team priorities shift
• Build with future flexibility in mind, including systems that could support AI-driven or retrieval-based features
• Weigh in on key technical decisions, raising trade-offs that affect the broader team or roadmap
• Work with engineering and business stakeholders on platform and deployment choices
• Handle data responsibly given the sensitivity and constraints of a regulated public sector environment

REQUIREMENTS

Required

• At least 5–7 years of hands-on software engineering experience, with a track record of owning production data systems from start to finish
• Solid grounding in data engineering practices — building pipelines, structuring data models, and handling both scheduled (batch) and continuous (streaming) data processing
• Strong command of at least one general-purpose programming language, with experience shipping production backend systems (not limited to data scripts)
• Well-rounded software engineering skills, including API design, system architecture, and the ability to work across the stack as needed
• Experience with cloud-based data platforms or "lakehouse"-style architectures
• Comfortable working independently and taking the lead on technical decisions
• Able to clearly communicate technical trade-offs to non-technical stakeholders

Good to have

• Familiarity with tools such as Databricks, Delta Lake, Unity Catalog, or similar lakehouse technologies
• Experience building data pipelines that support AI/ML use cases — e.g. retrieval-augmented generation, embeddings, or vector databases
• Experience with cloud-native deployment tooling
• Relevant certifications, and/or scores from technical assessments, where available

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