Senior Platform Engineer – Azure Data Engineering

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 Germany.

As a Senior Data & AI Platform Engineer – Azure Data Engineering, you will lead the architecture and development of modern lakehouse platforms on Azure. Use the latest Azure services such as Microsoft Fabric, Unity Catalog, and Databricks to implement end-to-end data solutions, ensuring governance, scalability, and performance.

Tasks & Responsibilities

• Architecture of data lakehouse solutions using OneLake, Delta Lake, and Fabric, as well as zero-ETL data integration (mirroring)

• Introduction of Databricks Photon and serverless clusters for high-performance processing and implementation of Unity Catalog for fine-grained access control

• Definition and enforcement of standards (IaC, CI/CD, DataOps) and coordination of multiple projects; mentoring of junior engineers

• Development of robust monitoring and data quality frameworks; use of Purview and observability tools

• Advising internal stakeholders on data strategy, governance, and cost efficiency; close coordination with business departments

What we offer you

• Flexible working models – Work without fixed working hours, remotely or in the office; residence in Germany 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

• 5+ years of experience in data engineering / data platform development, including extensive practice on Microsoft Azure

• Knowledge of data architectures, distributed data processing systems and cloud services like Azure Data Factory, MS Fabric, Databricks, Event Hubs are required

• Experience in data security and governance - knows data protection requirements and implements access authorizations, encryption and compliance conformity

• Proven ability to achieve performance and cost optimization with large data volumes

• Proficient in DevOps methods: continuous delivery of data pipelines, infrastructure-as-code (e.g. Terraform/Bicep) and containerized deployments.

• Strategic thinking & consulting: Ability to translate business requirements into data architectures and advise clients

• Leadership skills to technically lead a team, as well as clear communication skills with customers (including non-technical contacts)

• Language skills: Very good knowledge of German and English