Senior Databricks Data Engineer | Work at LeverX

At LeverX, we have had the privilege of delivering over 1,500 projects for various clients. With 20+ years in the market, our team of 2,200+ is strong, reliable, and always evolving: learning, growing, and striving for excellence.

We are looking for a Senior Databricks Data Engineer to join us. Let’s see if we are a good fit for each other!

what we offer:

• • Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
  • Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies.
  • Global clients based in Europe and the US, including Fortune 500 companies.
  • Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one.
  • Healthy work atmosphere: On average, our employees stay with the company for 4+ years.
  • Market-based compensation and regular performance reviews.
  • Internal expert communities and courses.
  • Perks to support your growth and well-being.

required skills:

•  5+ years in Data Engineering

• Strong experience with Databricks: Spark (PySpark + SQL), Delta Lake internals, Jobs, Workflows, SQL Warehouses, Unity Catalog

• Excellent SQL skills (analytical queries, performance tuning)

• Strong Python for data engineering

• Experience with dbt (models, tests, exposures, CI/CD)

• Experience with orchestration tools (Airflow, Dagster)

• Experience designing scalable lakehouse architectures

• Understanding of cost optimization in Databricks (clusters, warehouses, storage layout)

• English B2+.

nice-to-have skills:

• Databricks certifications
• Experience building production-grade dashboards in BI tools (Tableau, Looker, Superset)
  
  
  

  responsibilities:

• • Design and build scalable data pipelines on Databricks using PySpark, Databricks SQL, and Delta Lake.

  • Develop, optimize, and troubleshoot Spark workloads for performance and reliability.

  • Manage Delta Lake tables, including Z-Ordering, compaction, schema evolution, retention, and file layout optimization.

  • Configure and administer Databricks Jobs, clusters, SQL Warehouses, and workflows.

  • Own data governance using Unity Catalog, including permissions, lineage, and catalog/schema management.

  • Implement data transformations and medallion architecture (bronze–silver–gold) using dbt.

  • Build CI/CD pipelines and ensure data quality, observability, SLAs, auditing, and monitoring.

  • Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous platform improvements.