Data Engineer (all genders)
Core
Designing and implementing cloud data analytics solutions and migrating on-premise systems to scalable architectures for financial market supervision.
Role type
Senior Data Engineer (Cloud & Hybrid)
Builds
Scalable data pipelines, data warehouses, and hybrid data platforms (Azure Databricks + On-Premise)
Domain
Financial Services / Regulatory Compliance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, Data warehouse architecture, Cloud platform operations, Relational database management, Data quality engineering, Hybrid infrastructure management, C# programming, Python programming, SQL
Preferred skills
Azure Databricks expertise, On-premise environment experience, Cross-functional collaboration
Technologies
Azure, Databricks, C#, Python, SQL, Oracle, PostgreSQL, MSSQL
Responsibilities
Implement cloud data analytics solutions, migrate on-premise solutions to scalable architectures, conceive and optimize data pipelines, develop and monitor data quality mechanisms, work in hybrid cloud and on-premise environments, collaborate with business units and stakeholders
Seniority
Senior, hands-on IC
