Experienced Data Engineer
Core
Design and optimize data models and ETL/ELT workflows to translate business requirements into data-driven solutions for clients and internal teams.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data models, and analytics infrastructure
Domain
Financial services / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Azure Data Factory, Databricks, ETL/ELT design, data modeling, cloud technologies (Azure/AWS)
Preferred skills
Modern data tools (dlt, Stitch, dbt, SQLMesh, Airflow, Dagster), streaming data processing, AI-enabled development tools, Azure Data Engineer/Solution Architect certifications
Technologies
Azure Data Factory, Databricks, Azure, AWS, dbt, Airflow, Dagster, SQLMesh, Stitch, dlt
Responsibilities
Collaborate with data engineers, visualization specialists, and business analysts; Analyze source data to identify relationships, hierarchies, patterns, and trends; Define solution architecture and select appropriate technologies; Develop and optimize data models; Document findings and share best practices
Seniority
Senior, hands-on IC
