Senior Data Engineer
Core
Design and deliver enterprise data platforms supporting analytics, policy decision-making, and AI capabilities for a public sector organization.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data models, analytics datasets, dashboards, and data products
Domain
Public sector digital transformation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud platforms (AWS, Azure, Snowflake, Databricks), Python/Scala/Java, Big data tools (Spark, Kafka), ETL/ELT frameworks, DataOps/CI-CD, Data modeling (OLTP/OLAP)
Preferred skills
Machine learning/LLM applications, MLOps, Responsible AI principles
Technologies
AWS, Azure, Snowflake, Databricks, Spark, Kafka
Responsibilities
Design and build scalable data pipelines (batch and real-time), Develop data models and manage ETL/ELT processes, Implement data integration solutions (APIs, streaming, CDC), Ensure data quality, governance, and compliance standards, Support machine learning / LLM use cases and apply MLOps
Seniority
Senior, hands-on IC
