Senior Databricks Data Engineer | AI & Data Practice | Consulting - - 16962

Obecné informace

Pozice

Senior Databricks Data Engineer | AI & Data Practice | Consulting

Pracovní poměr

Plný pracovní úvazek

Město

Budapešť

Země

Maďarsko

Oddělení

Consulting

Tým

Strategy, Analytics and M&A

Oblast zájmu

Cloud, Consulting, Data & Analytics

Způsob práce

Hybridní model

Popis a požadavky

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+ 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.

Selection process

Step 1: CV Screening 📞

We’ll review your CV alongside your answers to our short pre-screening questions - you'll be invited to an introduction call with HR

Step 2: Technical Interview ⚙️

A deep-dive session with our AI & Data engineering team. We’ll explore:

Your hands-on experience with Databricks, cloud platforms, and ETL/ELT pipelines.
Practical knowledge of Python, SQL, and Spark.
Your problem-solving approach and familiarity with data architecture best practices.

May include a short technical case or scenario discussion.

Step 3: Final meeting – Culture & Client Fit ?‍?

A conversation with the director of the AI&Data team to assess:

Your communication and collaboration style.
How you approach client interaction
Your alignment with our team values and growth ambitions.

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