We digitize decisions with data—would you like to get involved?

In the role of Senior Azure Data Engineer, you will design the architecture of modern lakehouse platforms and enable self-service data access. You will combine Azure services (OneLake, Fabric, Databricks, Mirroring) to create scalable end-to-end solutions and implement governance, security, and cost optimization strategies. Your work will lay the foundation for successful AI projects.

Tasks & Responsibilities

Architecture of lakehouse platforms with Fabric/OneLake, Synapse, and Delta Lake; introduction of zero-ETL data integration via mirroring

Implementation of Unity Catalog for centralized data management and fine-grained access control, as well as integration with Purview

Building DataOps frameworks: using Delta Live Tables, serverless SQL pools, and automated monitoring tools for performance and cost management

Development of security and compliance concepts; integration of VNet, Private Link, Key Vault, and AD integration

Mentoring of junior engineers, leading code reviews, assisting with architecture decisions

Advising stakeholders on data strategy, technology selection, and business impact

What we offer you

Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany)

State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors

Targeted further training: Working hours for training, certifications, and mentoring

Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts

Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us

Leadership influence : You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team

Requirements

At least 5 years of experience in setting up and operating Azure data platforms (Data Lake, Databricks, Synapse/Fabric) and in managing projects

In-depth knowledge of data architecture, distributed systems, data modeling, and performance optimization

Experience with infrastructure as code and CI/CD, cost optimization, and DevOps

Strong communication and leadership skills; ability to explain complex concepts to business partners in an understandable way

Fluent German and very good English skills

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