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 lead the design and development of scalable data solutions using the Databricks Lakehouse platform within Azure cloud environments. You will collaborate with technical and business stakeholders to deliver high-quality batch and streaming data pipelines, contribute to architectural decisions, and support the full project lifecycle, from proof of concept to enterprise-scale implementation within a collaborative and innovation-driven team.
RESPONSIBILITIES
- Design and develop scalable batch and streaming ETL pipelines using Python and PySpark
- Build and optimize data solutions based on Databricks Lakehouse architecture and best practices
- Develop and maintain data models to support business and analytical needs
- Work with Azure cloud services, including Azure Data Factory, Azure Synapse, Azure Data Lake Services, and Azure DevOps
- Implement and optimize advanced SQL solutions for data processing and analytics
- Participate in architecture discussions, conduct trade-off analysis, and recommend optimal technical solutions
- Collaborate closely with technical and business stakeholders to understand requirements and deliver effective data solutions
- Support continuous improvement, knowledge sharing, and engineering best practices within the team
- Contribute across the full project lifecycle, from PoC and MVP stages to production implementation
REQUIREMENTS
- Hands-on experience with Python and PySpark for data engineering solutions
- Strong knowledge of Databricks Lakehouse architecture and related concepts
- 2+ years of experience designing data models, building ETL pipelines, and solving business problems through data solutions
- Practical experience with Azure cloud technologies, including Azure Data Factory, Azure DevOps, Azure Synapse, and Azure Data Lake Services
- Advanced SQL skills and experience working with relational databases
- Understanding of database and data warehouse design best practices
- Experience designing, building, and scaling both batch and streaming data pipelines
- Ability to evaluate technical options, conduct trade-off analysis, and solve complex problems
- Strong communication and stakeholder management skills
- Upper-intermediate or higher level of English
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
Role Summary
Location
Poland
Work type
Remote/Office
Direction
Engineering & Technology
Tech level
Leader
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.