Ogólne informacje

Stanowisko
Databricks Senior Data Engineer | Poland
Wymiar czasu pracy
Pełny wymiar czasu pracy
Miasto
Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław
Kraj
Polska
Dział
Consulting
Zespół
Engineering, AI & Data
Obszar zainteresowania
Data & Analytics, Digital, Engineering
Tryb pracy
Hybrydowy

Opis i wymagania

Who we are looking for
Join Our AI & Data Team – Where innovation meets impact!

Ready to shape the future with data? At Deloitte's AI & Data team, we do more than deliver solutions -we co-create them with our clients. You'll work in an international, diverse, and future-facing environment, solving complex challenges for some of the world’s most renowned organizations. We bring together the best of technology, data science, and human ingenuity.

🟢 What’s in it for you?
🚀 Cutting-edge projects: Dive into some of the most innovative and high-impact AI & Data projects in the industry.
?‍?Exclusive Databricks partnership: Collaborate closely with Databricks, accessing the latest tools, features, and best practices.
📈 Accelerated career growth: Enjoy a structured career path with a dedicated Career Coach to guide your development.
🎓 Learning that fuels leadership: From certifications to global workshops, we invest in your technical and professional mastery.
🌍 Truly international exposure: Work across borders with top talent from across Europe and beyond.



What you bring:
  • A bachelor’s or master’s degree in computer science, Information Systems, or a related field with a tech/analytics focus.
  • 3-5 years of experience building or optimizing cloud-based lakehouse platforms with Databricks.
  • Practical experience with Delta Lake, Unity Catalog, Workflows, Databricks SQL, and Notebooks.
  • Experience with Azure-based deployments of Databricks (other clouds are a plus).
  • Strong Python programming skills, alongside solid SQL and Apache Spark proficiency.
  • Experience working with ETL/ELT, data warehousing, and data lakes.
  • Familiarity with DevOps tools like Git, Terraform, and related CI/CD practices.
  • Databricks certifications (Data Engineer, Apache Spark Developer) are a strong plus.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
  • Proficiency in English, both written and verbal is a must!
  • EU passport - you may have business trips within the EU

Your future role
  • Design cloud-native data platforms using Databricks, including data lakes, lakehouses, and transformation pipelines.
  • Implement and fine-tune Databricks solutions across ETL/ELT, data modeling, and data integration domains.
  • Apply cloud and data governance best practices to ensure security, scalability, and reliability.
  • Collaborate closely with clients from project scoping to deployment—ensuring business value at every stage.
  • Contribute to proposals and support strategic business development initiatives.
  • Stay ahead of the curve with Databricks features and guide internal teams and clients on the latest capabilities.


What we offer
  • Competitive compensation and benefits package.
  • A role in an international AI & Data practice with exposure to diverse projects.
  • Career growth and continuous learning opportunities with certifications and training.
  • Hybrid or remote working model with a modern office in Warsaw
  • Collaborative, innovative, and supportive team culture.

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