Data Engineer
Core
Design, build, and maintain data pipelines, models, and analytics products for public and private sector clients to support digital transformation.
Role type
Data Engineer (Consulting/Delivery)
Builds
Data pipelines, semantic models, analytics products, and visualizations on cloud platforms.
Domain
Data Engineering, Cloud Data, Analytics, Consulting
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data modeling, data warehousing, lakehouse environments, cloud platforms (AWS/Azure), software engineering fundamentals, data governance, data visualization
Preferred skills
Modern data engineering frameworks (Spark/PySpark), orchestration tools, AI/ML integration concepts, statistical understanding
Technologies
SQL, Python, Spark, PySpark, Pandas, AWS, Azure, Databricks, Redshift, Microsoft Fabric, Power BI, Tableau, Git, CI/CD
Responsibilities
Translate business problems into data tasks, design and build data pipelines and models, work with data warehouses and lakehouse platforms, contribute to cloud data and AI platform solutions, create data visualizations, collaborate with users and stakeholders in Agile environments.
Seniority
Mid-level, hands-on IC