Remote-first (within Poland) or work from our office in WarszawaHi, Polcode here!
We’re a global technology partner that values collaboration, ownership, and a practical approach to building software. Our team of almost 100 professionals helps build and improve digital businesses, software platforms, eCommerce stores, websites, apps, and everything in between. And they’re good at it.
We’re currently looking for a Data Engineer with strong Databricks experience to join a long-term project in the energy sector. The cooperation is planned until the end of 2027, with an option to extend.
The project focuses on developing and continuously improving a modern data platform, with particular attention to data quality, scalable data processes, and providing reliable data for reporting.
You’ll work hands-on with Databricks, Python, and SQL, designing and developing data solutions based on a Medallion Architecture and integrating data into an enterprise Data Lake.
We’re open to experienced Data Engineers at different levels of seniority. What matters most is solid hands-on Databricks expertise and the ability to work independently. If you also bring senior-level experience in areas such as architecture, optimization, access management, and deployment practices, there will be plenty of room to put it to use.
Why this project is worth your attention:
- Long-term cooperation in the energy sector planned until the end of 2027, with an option to extend
- Strong focus on modern Data Engineering and Databricks
- Work with an enterprise-scale Data Lake and Medallion Architecture
- Opportunity to influence data platform design, performance, and data quality
- Hands-on role combining data modelling, ETL/ELT, orchestration, and platform development
- Room for experienced engineers to contribute to architectural and technical decisions
- Azure and German are nice-to-haves, not entry requirements.
Perks of being a #Polcoder:
- Multisport card, private medical care, life insurance, and meaningful gifts to celebrate important days
- All the necessary equipment for comfortable work
- Professional onboarding process
- We respect your private life - no overtime, no weekend jobs, work-life balance only, promise!
- Work at times that suit your daily rhythm, from the place of your choice
- Your work is appreciated - we believe in the power of feedback, as well as the one you give us.
TL;DR
- Data Engineer with strong Databricks experience
- Energy sector and enterprise data platform
- Databricks + Python + SQL
- Data Lake, Medallion Architecture, ETL/ELT and data modelling
- Long-term cooperation
- B2B: 110–150 PLN/h + VAT.
We strongly believe that putting people first makes our work better.
We encourage you to grow your career, contribute to open source, and follow your passion. We wanna do great things with you! 💜
Sounds like a match? Let’s talk!
If you feel this is your direction, but don’t meet every single requirement, still reach out. We’d love to hear your perspective and tell you more - Ela is always open for a quick chat.
What we’re looking for:
- Several years of commercial Data Engineering experience
- Hands-on commercial experience with Databricks
- Solid Python and SQL skills
- Experience with data modelling and ETL/ELT processes
- Experience building and orchestrating data pipelines
- Strong understanding of Data Lake / modern data platform concepts
- Understanding of layered data models such as Medallion Architecture (Bronze / Silver / Gold)
- Experience with permissions and access concepts
- Knowledge of continuous ingestion and continuous development practices
- Understanding of deployment processes and data quality practices
- Solution-oriented and structured approach to engineering challenges
- Strong communication skills and ability to work independently with stakeholders
- Experience working in agile projects, particularly Scrum
- Understanding of IT Service Management processes such as ITIL
- English allowing you to work effectively in an international environment.
It would be great if you also have:
- Experience with Microsoft Azure in a Databricks / Data Engineering environment
- Experience with Spark or PySpark
- Experience with streaming, CDC, Auto Loader, Structured Streaming, or similar continuous ingestion approaches
- Experience with Machine Learning or LLM solutions in Databricks
- Experience with Jira and Confluence
- Good German language skills.