Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
In this role, you will build scalable, efficient data solutions on the Databricks Lakehouse platform in Azure environments. You will work on batch and streaming data pipelines, support data platform optimization initiatives, and collaborate with technical and business stakeholders to deliver reliable, production-ready data solutions across different stages of the project lifecycle.
RESPONSIBILITIES
- Design, develop, and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform
- Build and optimize data processing solutions using PySpark, Python, and SQL
- Configure and maintain Databricks clusters and SQL Warehouses
- Implement and support data governance practices using Unity Catalog, including access control, lineage, and cross-workspace sharing
- Develop and deploy data solutions using Databricks Asset Bundles and CI/CD processes
- Design and maintain bronze–silver–gold Lakehouse architectures using Delta Lake
- Expose and visualize data using Databricks SQL and BI tools such as Power BI
- Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions
- Participate in architecture discussions and contribute to continuous improvement initiatives within the team
- Support implementation and usage of modern Databricks AI/BI capabilities such as Dashboards, Metric Views, MLflow, Genie, and agents where applicable
REQUIREMENTS
- 5+ years of experience in Data Engineering, including designing data models and scalable ETL pipelines
- Strong expertise in PySpark, Python, and SQL, including performance tuning and optimization
- Hands-on experience with Databricks, including clusters and SQL Warehouses
- Practical knowledge of Unity Catalog governance, including fine-grained access control, lineage, and data sharing
- Experience delivering end-to-end data solutions using Databricks Asset Bundles and CI/CD practices
- Strong understanding of Delta Lake and Lakehouse architecture concepts
- Experience working with Databricks SQL and BI tools such as Power BI
- Strong communication and collaboration skills with technical and business stakeholders
- Upper-intermediate or higher level of English
- Familiarity with Databricks AI/BI tools such as MLflow, Dashboards, Metric Views, Genie, or agents (is a plus)
- Experience with Azure data services such as ADF, Synapse, ADLS, Azure DevOps, or Microsoft Fabric (nice to have)
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
Poland
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Data & Analytics
Tech level
Senior
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.