Data Engineer (Public Sector)
Summary
Designs and builds secure, scalable data pipelines and cloud infrastructure for a public-sector agency using Python, SQL, and modern DevOps tools.
The Opportunity:
Adecco is partnering with a
public sector agency
to search for a
Data Engineer
with strong expertise in
cloud platforms and distributed systems,
proficient in
Python and SQL,
skilled in modern data and DevOps tools, and capable of designing scalable, secure data solutions aligned with business and governance needs.
The Job:
Define and drive data engineering strategies and architectural frameworks that align with organizational goals. Assess and recommend data platforms and architectural solutions to support evolving needs, including AI-driven use cases. Convert business data requirements into scalable, technical designs and implementations. Design and develop robust data pipelines to ingest, process, integrate, and standardize data from multiple sources. Build and manage secure, cloud-based data infrastructure with appropriate access controls. Oversee and enhance
ETL processes
and database systems to ensure optimal performance, reliability, and scalability. Develop reusable data models and maintain comprehensive data catalogues, including metadata and lineage tracking. Partner with data stewards to uphold data governance, quality, security, and compliance standards. Lead both greenfield and brownfield projects, guiding stakeholders from problem identification through to
solution delivery . Establish standardized methodologies for assessments, discovery, and solution design based on best practices. Promote engineering excellence and advocate for modern data and infrastructure approaches across teams.
Requirements: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 5-10 years of experience
in data engineering, platform engineering, or cloud infrastructure roles. Strong foundation in data system design, data structures, algorithms, and architectural modeling. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and distributed technologies like Spark or Hadoop. Proficiency in
Python and SQL . Experience with orchestration tools (e.g.,
Airflow, Azure Data Factory ) and
DevOps
practices (e.g.,
Docker, Git, Terraform ). Familiarity with CI/CD pipelines and infrastructure-as-code principles. Experience working with platforms such as Databricks, Snowflake, or Denodo, including batch and real-time data processing. Solid understanding of data governance, security, and privacy, particularly in regulated or public sector environments. Next Step:
Send your updated resume to
(HIDDEN TEXT)
. Email Title:
Data Engineer (Public Sector) Only shortlisted candidates will be contacted
Lim Jia Yi EA License No: 91C2918 Personnel Registration Number: R24119814 Lim Jia Yi EA License No: 91C2918 Personnel Registration Number: R24119814
public sector agency
to search for a
Data Engineer
with strong expertise in
cloud platforms and distributed systems,
proficient in
Python and SQL,
skilled in modern data and DevOps tools, and capable of designing scalable, secure data solutions aligned with business and governance needs.
The Job:
Define and drive data engineering strategies and architectural frameworks that align with organizational goals. Assess and recommend data platforms and architectural solutions to support evolving needs, including AI-driven use cases. Convert business data requirements into scalable, technical designs and implementations. Design and develop robust data pipelines to ingest, process, integrate, and standardize data from multiple sources. Build and manage secure, cloud-based data infrastructure with appropriate access controls. Oversee and enhance
ETL processes
and database systems to ensure optimal performance, reliability, and scalability. Develop reusable data models and maintain comprehensive data catalogues, including metadata and lineage tracking. Partner with data stewards to uphold data governance, quality, security, and compliance standards. Lead both greenfield and brownfield projects, guiding stakeholders from problem identification through to
solution delivery . Establish standardized methodologies for assessments, discovery, and solution design based on best practices. Promote engineering excellence and advocate for modern data and infrastructure approaches across teams.
Requirements: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 5-10 years of experience
in data engineering, platform engineering, or cloud infrastructure roles. Strong foundation in data system design, data structures, algorithms, and architectural modeling. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and distributed technologies like Spark or Hadoop. Proficiency in
Python and SQL . Experience with orchestration tools (e.g.,
Airflow, Azure Data Factory ) and
DevOps
practices (e.g.,
Docker, Git, Terraform ). Familiarity with CI/CD pipelines and infrastructure-as-code principles. Experience working with platforms such as Databricks, Snowflake, or Denodo, including batch and real-time data processing. Solid understanding of data governance, security, and privacy, particularly in regulated or public sector environments. Next Step:
Send your updated resume to
(HIDDEN TEXT)
. Email Title:
Data Engineer (Public Sector) Only shortlisted candidates will be contacted
Lim Jia Yi EA License No: 91C2918 Personnel Registration Number: R24119814 Lim Jia Yi EA License No: 91C2918 Personnel Registration Number: R24119814