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Technical Analyst/Specialist - Databricks Platform (all humans)

Posted July 20, 2026
fulltime_permanent mid_level 3000-4000 EUR/month

Job Overview

Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself

We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.

We are looking for an Analyst / Technical Specialist to support the ongoing development, adoption, and daily operations of the Erste Databricks Platform.

The role is positioned between users, data teams, platform engineers, and other stakeholders. The main focus is to understand business needs, translate them into clear requirements, support technical implementation, and help ensure that the Databricks platform delivers value in a secure, efficient, and scalable way.

The ideal candidate has a mix of analysis skills and technical understanding, with experience or interest in cloud data platforms, Azure, Terraform, Python, SQL, and modern data governance practices. The candidate does not need to fulfill every requirement but should be willing to learn and grow in the role.

What to do:

  • Work daily with Databricks users to understand their requests, challenges, and goals.

  • Translate their needs into clear functional and technical requirements.

  • Support the Erste Databricks Platform team in prioritizing, analyzing, and delivering user requests.

  • Collaborate with data engineers, platform engineers, architects, security teams, and business stakeholders.

  • Help design and document platform processes, user journeys, and operational procedures.

  • Support onboarding of new users, use cases, and data products onto the Databricks platform.

  • Analyze issues, clarify requirements, and coordinate resolution with the relevant technical teams.

  • Support improvements in data lifecycle management, governance, cost awareness, and operational efficiency.

  • Contribute to platform documentation, knowledge sharing, and best-practice guidelines.

  • Help ensure that platform usage aligns with internal standards, security requirements, and governance principles.

  • Stay informed about current AI, analytics, and data platform trends and assess their potential relevance for business users.

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