Senior Azure Data Platform Engineer with Databricks (Frankfurt, hybrid)

Frankfurt , Germany
Hybrid

AI overview

Consolidate data into a centralized Azure platform to support operational reporting using Databricks and Unity Catalog while leading team knowledge-sharing sessions.

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

About the project:

The Data & AI Team is currently operating in an on-premise environment, where data is dispersed across multiple source systems. Our objective is to establish a centralized data platform on Azure that will consolidate this data and enable a broad range of use cases, including operational reporting. The target architecture has already been defined and will primarily leverage Databricks and Unity Catalog within a medallion architecture, along with Azure Data Factory and Kafka for data ingestion.

You will be:

  • setting up and maintaining the environments where applications are deployed and run – from configuring servers, databases, and cloud services to managing monitoring and log management tools,

  • ensuring that the infrastructure remains highly available, scalable, and secure while continuously improving performance and documentation,

  • taking care of testing and deployment processes, making sure everything runs smoothly and efficiently,

  • leading team training sessions to strengthen knowledge of tools, automation, and best practices,

  • applying effective project management techniques to drive collaboration and results.

Requirements

Your profile:

  • willingness to work in a hybrid model, with two days per week on-site near Frankfurt am Main, 

  • several years of hands-on experience in designing and implementing cloud environments, 

  • strong proficiency in cloud technologies, with a particular emphasis on Microsoft Azure (including Databricks and Unity Catalog), 

  • practical commercial experience with SQL and Python, complementing overall cloud expertise, 

  • excellent communication skills in English, enabling effective collaboration across teams and regions, 

  • Bachelor’s degree in Computer Science, Electronics, Mathematics, or a related field. 

Work from the European Union region and a work permit are required.

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

Please note that we are currently looking to expand our talent pool for future opportunities within the IT industry. While we may not have an immediate project for you at the moment, we are proactively recruiting to ensure that we have the right expertise when new projects arise. We will contact you when a potential project matching your skills and experience becomes available. Thank you for your interest in joining our team.

Nice to have:

  • proficiency with Kafka and Azure Data Fabric 


Recruitment Process:

CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview - Decision

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