Data Engineer
Core
Design, build, and operationalize large-scale enterprise data pipelines to capture, transform, and store data for reporting, automated systems, and AI/ML teams.
Role type
Senior Data Engineer
Builds
Enterprise data pipelines and data assets
Domain
Public and private sector digital transformation
Deliverable
production ML models | product features
Required skills
Python, .Net (C#), SQL, Databricks, Snowflake, AWS (S3, RDS, Glue, Redshift), GCP (BigQuery, Bigtable, Dataflow, Cloud Storage), Azure (Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Cosmos DB), Kafka, serverless computing, CI/CD, containerisation, Infrastructure as Code (IaC), code version control, automated testing
Preferred skills
Tableau server administration, agentic coding tools (Claude Code, Cursor, Google Antigravity)
Technologies
Databricks, Snowflake, AWS, GCP, Azure, Kafka, Tableau, Python, .Net
Responsibilities
Design and build data pipelines; administer cloud data platforms; implement serverless computing and IaC; optimize SQL storage and queries; support thought leadership and scaling deployments
Seniority
Mid-Senior, hands-on IC
