Senior Azure Data Engineer - Agentic AI Platform — Opportunihub
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Senior Azure Data Engineer - Agentic AI Platform

paiqo GmbH · Remote job

At a glance

Type
Job
Organisation
paiqo GmbH
Location
Remote job
Work mode
Remote
Deadline
Rolling / not stated
Posted
26 Jul 2026

About this job

<p><strong>We digitize decisions with data—would you like to get involved?</strong></p><p>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.</p><p style="min-height: 1.7em;"></p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li><p>Architecture of lakehouse platforms with Fabric/OneLake, Synapse, and Delta Lake; introduction of zero-ETL data integration via mirroring</p></li><li><p>Implementation of Unity Catalog for centralized data management and fine-grained access control, as well as integration with Purview</p></li><li><p>Building DataOps frameworks: using Delta Live Tables, serverless SQL pools, and automated monitoring tools for performance and cost management</p></li><li><p>Development of security and compliance concepts; integration of VNet, Private Link, Key Vault, and AD integration</p></li><li><p>Mentoring of junior engineers, leading code reviews, assisting with architecture decisions</p></li><li><p>Advising stakeholders on data strategy, technology selection, and business impact</p></li></ul><p style="min-height: 1.7em;"></p><p><strong>What we offer you</strong></p><ul><li><p><strong>Flexible working:</strong> Trust-based working hours, hybrid working, and remote working possible (residence in Germany)</p></li><li><p><strong>State-of-the-art technology stack:</strong> Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors</p></li><li><p><strong>Targeted further training:</strong> Working hours for training, certifications, and mentoring</p></li><li><p><strong>Innovation space:</strong> Opportunity to test new tools and frameworks and develop proof-of-concepts</p></li><li><p><strong>Diversity &amp; inclusion:</strong> We welcome all applicants and promote an inclusive environment; your ideas are important to us</p></li><li><p><strong>Leadership influence</strong>: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team</p></li></ul><p style="min-height: 1.7em;"></p><p>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!</p> <br> <p><strong>Requirements</strong></p><ul><li><p>At least 5 years of experience in setting up and operating Azure data platforms (Data Lake, Databricks, Synapse/Fabric) and in managing projects</p></li><li><p>In-depth knowledge of data architecture, distributed systems, data modeling, and performance optimization</p></li><li><p>Experience with infrastructure as code and CI/CD, cost optimization, and DevOps</p></li><li><p>Strong communication and leadership skills; ability to explain complex concepts to business partners in an understandable way</p></li><li><p>Fluent German and very good English skills</p></li></ul><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on paiqo GmbH’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

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Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on paiqo GmbH’s official page.

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