Senior AzureData Engineer - Agentic AI Platform

paiqo GmbH; Benhausen; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A technology company in Germany is seeking a Senior Azure Data Engineer to design architecture for lakehouse platforms and manage Azure data projects. You will be responsible for implementing cutting-edge technology, mentoring junior engineers, and advising stakeholders on data strategies. The ideal candidate has over 5 years of experience with Azure technologies and strong communication skills in both German and English. Flexible working conditions are offered.

Leistungen

Flexible working hours

State-of-the-art technology stack

Targeted further training

Innovation space

Diversity & inclusion

Leadership influence

Qualifikationen

• 5+ years of experience in Azure data platforms.
• In-depth knowledge of distributed systems and data modeling.
• Experience with infrastructure as code and CI/CD.

Aufgaben

• Design architectures for lakehouse platforms.
• Implement Unity Catalog for centralized data management.
• Build DataOps frameworks for performance management.

Kenntnisse

Azure data platforms

Data architecture

DevOps

Leadership skills

Communication

Fluent German

Very good English

Tools

Databricks

Fabric

Delta Lake

Synapse

Jobbeschreibung

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

If you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning‑oriented team culture, we look forward to receiving your application!

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