Description & Requirements

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.