Senior Data Engineer
Core
Build and maintain the data lakehouse, pipelines, and layers serving both human users and AI agents with high-quality, governed data products.
Role type
Senior Data Engineer (Data Platform & AI Infrastructure)
Builds
Data Lakehouse, ingestion pipelines, documentation corpus, and MCP tools for AI agents
Domain
Banking / Financial Services, Data Engineering, AI Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, Data Lakehouse architecture, Delta Lake, CI/CD, Data Governance, Unstructured data processing, MCP tools development
Preferred skills
Microsoft Fabric, Azure Databricks, Spark, Vector search, Data contracts, Power BI, Machine learning fundamentals
Technologies
Python, SQL, Microsoft Fabric, Azure Databricks, Delta Lake, GitHub Actions, Power BI, MCP, Cosmos DB
Responsibilities
Develop and maintain pipelines extracting data from RDBMS, CDC, and streaming endpoints; Transform raw data into business-ready analytical models on a Data Lakehouse; Build and maintain MCP tools for AI agents to query documentation and API specs; Guard data consistency, quality, and governance across the lifecycle; Process observability metrics and transaction data in a secure, compliant manner.
Seniority
Senior, hands-on IC
