Lead Platform Engineer – Azure Data Engineering

Vor 6 Tagen

Wien, Wien, Österreich paiqo GmbH Vollzeit € 80.000 - € 120.000 pro Jahr

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

At paiqo, we develop modern lakehouse platforms on Azure. Our young team of data engineers, architects, and data scientists works without rigid hierarchies, with a high degree of personal responsibility and a passion for new technologies. Whether OneLake, Delta Lake, Azure Databricks, or Microsoft Fabric—with us, you orchestrate the latest cloud and AI services to provide reliable data for analysis, reporting, and AI at all times. Flexible working from home or from our offices is a given, as long as you live in Austria.

As a Lead Data & AI Platform Engineer – Azure Data Engineering, you will define the technical vision and strategy for data platforms on Azure. You will coordinate multiple projects, develop reference architectures, and ensure governance and compliance are maintained. You will actively drive new Azure features (Fabric, Mirroring, AI support) and represent the company to customers and partners.

Tasks & responsibilities

  • Strategic planning and further development of the data platform; definition of standards and roadmaps for lakehouse architectures on Azure

  • Management of the deployment of Microsoft Fabric, Azure Databricks, Delta Lake mirroring, and Unity Catalog; evaluation of innovations (e.g., Lakeflow, AI-based pipeline design) for productive use

  • Conducting risk and compliance assessments; ensuring data protection, governance, and security policies

  • Technical leadership of data engineering teams, coaching, and knowledge transfer

  • Management of stakeholder communication in German and English; participation in pre-sales and technical workshops

What we offer you

  • Flexible working models – Work without fixed working hours, remotely or in the office; residence in Austria is a prerequisite

  • Exciting projects – Development of modern lakehouse platforms and data pipelines for well-known customers

  • Latest Azure technologies – Use of Microsoft Fabric, Databricks, Delta Lake, and mirroring to modernize data platforms

  • Young, motivated team & open culture – Short decision-making processes, mutual trust, and a high degree of personal responsibility

  • Targeted further training – Fixed time frame for training and certifications; continuous learning is part of the work culture

  • Scope for innovation – Opportunity to try out new data tools and frameworks and contribute ideas

  • Long-term customer relationships – Work on projects with added value and a lasting impact through multi-year contracts

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

  • 7+ years of experience in data engineering and architecture; expertise in large-scale Azure data solutions

  • Proven leadership skills, stakeholder management, and ability to implement strategic programs

  • In-depth knowledge of data governance, compliance, and secure cloud architectures; experience with Purview, Unity Catalog, and DataOps

  • Fluent in German, very good English; strong communication skills

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