Data Engineer

1 day ago

Central Region, Singapore Adecco Personnel Pte Ltd. Full time $60,000 - $120,000 per year
The Opportunity:
  • Adecco is partnering with a public sector agency to search for a Data Engineer.
  • The ideal candidate will have experience in building and maintaining data systems that support the agency's digital transformation and data-driven initiatives. We also welcome Software Engineers with some exposure to data engineering who are keen to expand their expertise in this area.
  • This role will start off as a 12-month contract assignment
  • Work Location: Southwest
The Talent:
  • Possesses a Degree in Computer Science, Information Systems, or related field.
  • Has at least 1-2 years of experience in software or data engineering.
  • Strong programming skills in Python and SQL.
  • Hands-on experience in building or maintaining data pipelines (batch or real-time).
  • Exposure to data platforms such as Databricks, Snowflake, or Cloudera.
  • Familiar with cloud environments (AWS, Azure, or GCP).
  • Understanding of data security, data quality, and data governance practices.
  • Experience with data visualization tools such as Tableau, MicroStrategy, or Power BI is a plus.
  • A motivated team player who is curious, proactive, and passionate about leveraging data for impact.
  • Open to Software Engineers looking to grow into a data engineering career path.
The Job:
  • Design, build, and maintain data pipelines across multiple environments and layers (from raw to consumption-ready data).
  • Develop data infrastructure improvements using modern practices such as Infrastructure-as-Code (IaC) and DataOps.
  • Implement and optimise ETL/ELT workflows to ensure reliability, scalability, and performance.
  • Collaborate with data governance teams to enforce data access, security, and quality controls.
  • Develop and publish master and reference data for cross-domain usage.
  • Support data quality pipelines, monitoring and remediating issues with domain data owners.
  • Conduct proof-of-concepts with modern data tools (e.g., dbt, Fivetran, Neo4j, Apache Atlas).
  • Work closely with internal teams on data models (e.g., Kimball, Data Vault 2.0) and domain-specific data solutions (HR, Finance, Product, etc.).
  • Provide technical guidance on Spark, Databricks, and other data platform technologies.
  • Ensure the security and reliability of the agency's data platform and minimise data downtime for critical data products.
Next Step
  • Send your updated resume to:
  • Email Topic: Apply: Data Engineer (Public Sector Agency)
  • We regret to inform that only shortlisted candidates will be contacted.

Jason Lew Hong Kang

EA Licence Number: 91C2918

Personnel Registration Number: R1876435

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