SCIENTEC CONSULTING PTE. LTD.
Senior Backend Engineer (Data Engineering)
Visa Source Listed
📍🇸🇬 Singapore📅4h ago
S$90,000—S$1,32,000/ year
≈ ₹56L — ₹83L per year
Data Protection RegulationData Storage SystemsRequirement SpecificationData PipelinePipeline DevelopmentFull Stack DevelopmentETLData ProcessingData Quality Assurancetechnology deploymentSystem Architecture DesignPythonCloud-Based PlatformAPIBackend Development
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Job Description
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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Hazel Hui San Tan - R26163129
ScienTec Consulting Pte Ltd - 11C5781