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

Xebia; Frankfurt (Oder); Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global technology company is seeking a Senior Azure Data Platform Engineer to construct a centralized data platform on Azure. The role requires strong skills in cloud technologies, SQL, and Python, with the opportunity to work in a hybrid model. Applicants should have a Bachelor's degree in a relevant field and be proficient in Microsoft Azure, Databricks, and Unity Catalog. Excellent communication skills in English are crucial.

Qualifikationen

• Strong proficiency in cloud technologies, especially Microsoft Azure.
• Several years of hands-on experience in designing and implementing cloud environments.
• Excellent communication skills in English for collaboration.

Aufgaben

• Set up and maintain environments for applications.
• Ensure infrastructure remains available, scalable, and secure.
• Lead team training sessions on tools and best practices.
• Drive collaboration and results using project management techniques.

Kenntnisse

Cloud technologies

SQL

Python

Microsoft Azure

Communication skills

Ausbildung

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

Tools

Databricks

Unity Catalog

Kafka

Jobbeschreibung

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

• Hybrid
• Data

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.

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 supports 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.

Job 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.

Nice to have:

• proficiency with Kafka and Azure Data Fabric

Recruitment Process:

CVreview –HRcall –Interview(with Live‑coding)–ClientInterview (with Live‑coding)– Hiring Manager Interview -Decision