Senior Data Engineer
Core
Design and develop scalable ETL pipelines and data models on Microsoft Azure to support a data lake platform for BI and AI-driven decision-making.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Data lake, ETL pipelines, data assets, and feature stores for BI and AI inference
Domain
Financial Technology / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Factory, ETL pipeline design, data modeling, batch and streaming data processing, orchestration tools (Airflow), CI/CD, Docker, Kubernetes, API integration, data governance
Preferred skills
Test Driven Design (TDD), Agile/Scrum methodologies, university degree
Technologies
Microsoft Azure, Azure Data Factory, Airflow, Docker, Kubernetes, Git
Responsibilities
Design and develop reliable, scalable ETL pipelines; define and maintain reusable data models; manage data ingestion, transformation, and persistence; ensure data quality, observability, and security compliance (GDPR); automate pipelines and deployments via CI/CD; collaborate with AI engineers to integrate data flows for batch and real-time inference
Seniority
Senior, hands-on IC