Responsibilities
- 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
Requirements
- 5+ years of experience in data engineering or analytics engineering roles
- Strong hands-on experience with Databricks (Spark, SQL)
- Advanced SQL skills, including performance tuning and query optimization
- Experience migrating data platforms, ideally Azure Synapse → Databricks
- Experience with Power BI, including dataset modeling
- Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
- Experience working with cloud data platforms
- English level Upper-Intermediate
Benefits
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Work Arrangement
Hybrid
Team
Team size: 11
Additional Information
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
