Senior Data Engineer

Join a high impact team helping solve critical data and infrastructure challenges. Contribute to shaping the consulting practice while delivering impactful, scalable solutions.

Responsibilities:

• Advise on data engineering strategy, architecture, and implementation.
• Translate business data needs into technical specifications and scalable solutions.
• Design and build data pipelines for ingestion, cleaning, and harmonization.
• Implement secure, cloud-based data infrastructure and access controls.
• Optimize ETL processes, databases, and pipelines for performance and reliability.
• Develop reusable data models and maintain data catalogs with metadata and lineage.
• Enforce data governance, quality, and security standards.
• Lead end-to-end implementations and standardize solution approaches.
• Promote modern engineering and data practices across agencies.
• Enjoys solving complex data and infrastructure problems.
• 
  

Qualifications:

• Bachelor’s in Computer Science, Software Engineering, IT, or related field.
• 10+ years in data engineering, cloud, or platform engineering.
• Strong system design, data modeling, and algorithm knowledge.
• Experience with cloud platforms (AWS, Azure, GCP), distributed systems (Spark, Hadoop), and Databricks.
• Proficient in Python, Java, Scala, SQL; familiar with Airflow, Azure Data Factory, Docker, Git, Terraform, CI/CD, and infrastructure-as-code.
• Knowledge of data governance, security, and privacy, especially in public sector.
• Excellent communication and stakeholder management skills.

For a confidential discussion, please reach out to me at [email protected]

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R21101138

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg