HHiring Reality
← SimplifyNext

Data Engineer

SimplifyNext
Location
Singapore
Posted
11 days ago
Department
Professional Services
What they actually want (must-haves)
  • Degree in Computer Science, Data Engineering, Information Systems or a related field.
  • 4+ years of hands-on experience in data engineering, ETL/ELT development or data platform roles, building and operating production pipelines.
  • Strong hands-on experience with at least one modern data platform - Databricks, Apache Spark, Microsoft Fabric or AWS (Glue, Step Functions, Lambda, S3, Redshift).
  • Proficiency with open table formats and lakehouse architecture - Apache Iceberg, Delta Lake or S3 Tables - including schema evolution, partitioning and ACID transactions.
  • Strong SQL and proficiency in Python (or Scala/Java) for data processing and automation.
  • Experience designing data models and warehouse/lakehouse layers for analytics, reporting and AI workloads.
Nice to have
  • Experience delivering data projects in the Singapore Public Sector, particularly in a Government Commercial Cloud (GCC / GCC+) environment.
  • Cloud or platform certification - AWS Certified Data Analytics, AWS Certified Solutions Architect, Databricks Data Engineer, or Azure/Fabric Data Engineer.
  • Exposure to AI/ML workloads - feature pipelines, vector stores, RAG data preparation or MLOps.
  • Experience with data migration from legacy systems, including reconciliation and cutover.
  • Familiarity with governance frameworks and PII handling (e.g. masking, tokenisation, Presidio).
What the job really is

As a Data Engineer at SimplifyNext, you will design, build, and deploy scalable data lakehouse platforms for clients, focusing on end-to-end data pipelines and data quality frameworks. You will collaborate with cross-functional teams to implement ETL/ELT processes on modern cloud platforms, ensuring data governance and supporting analytics teams. Your role will also involve writing production-quality code, applying DevOps practices, and using AI tools to enhance delivery efficiency.

Things to weigh
  • No salary or benefits information provided.
  • The role requires ongoing support for production systems, which may not appeal to everyone.
  • Candidates should be open to learning new platforms as client needs change, rather than sticking to a single tech stack.
  • Emphasis on technical documentation and operational handover may not suit those who prefer less structured roles.
Job score3/5
Benefits1/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

Applying to SimplifyNext?

See how your résumé matches this role — and tailor it from what actually gets interviews.

Calculate resume scoreGenerate resume to apply
Job Link →