Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
Develop and optimize Databricks Data Warehouse for analytics and BI workloads
Build and maintain semantic models to support enterprise reporting and self-service analytics
Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
Write, optimize, and tune complex SQL queries for large-scale analytical workloads
Ensure data quality, reliability, and governance across the analytics platform
Contribute to architecture decisions, best practices, and standards for data engineering
What You Bring
5+ years of experience in data engineering or analytics engineering roles
Strong hands-on experience with Databricks (Spark, SQL)
Hands-on experience with Power BI, including dashboard development, DAX, semantic modeling, and Row-Level Security (RLS). Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. - International projects
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.