Databricks Engineer (short-term contract)

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 Databricks Engineer to join us for a 6-week project.

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 for 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:

• 3+ years of professional Data Engineering experience.
• Strong hands-on experience with Databricks, dbt (Data Build Tool), SQL, and Python and/or PySpark.
• Good understanding of Delta Lake, lakehouse architecture, and distributed data processing.
• Experience designing and maintaining production-grade ELT pipelines.
• Experience with Git and CI/CD development workflows.
• Understanding of data modeling, data quality, testing, and data governance concepts.
• Experience working with at least one major cloud platform: Azure, AWS, or GCP.
• Strong troubleshooting and performance optimization skills.
• Availability to join a 6-week project and contribute effectively within a short project timeline. 
• English B2+.

nice-to-have skills:

• Databricks certifications.
• Experience with Databricks Unity Catalog.
• Experience with orchestration tools such as Databricks Workflows, Airflow, or Azure Data Factory.
• Experience with Infrastructure as Code, particularly Terraform.
• Knowledge of dimensional modeling and modern analytics engineering practices.
• Experience working with large-scale enterprise data platforms.

responsibilities:

• Design, develop, and maintain scalable data pipelines and transformation workflows using Databricks and dbt within the scope of a 6-week project.
• Build reliable ETL/ELT processes for structured and semi-structured data using SQL, Python, and PySpark.
• Implement and optimize Delta Lake tables and lakehouse architectures for performance, scalability, and cost efficiency.
• Develop reusable, tested, and well-documented dbt models, including automated data quality checks and monitoring.
• Quickly onboard into the existing data environment, understand project requirements, and deliver agreed project outcomes within the defined timeline.
• Collaborate with data analysts, data scientists, software engineers, and business stakeholders to translate requirements into robust data solutions.
• Troubleshoot data issues, optimize Databricks workloads, and ensure clear documentation and knowledge transfer at the end of the engagement.