Data Insight Consulting

data engineer for Databricks and Azure

In short

Senior data engineer role at a Hamburg-based Databricks and Microsoft Azure consultancy serving DACH clients, designing and building production Lakehouse data platforms and pipelines with Python, PySpark, SQL, Delta Lake, and Unity Catalog. The role involves direct customer consulting, so very good German and good English are required, plus at least 3 years of hands-on data engineering experience. It's a 12-month fixed-term contract via a recruitment agency, offered remotely, with an immediate start.

About
Data Insight Consulting is a specialized Databricks and Microsoft Azure consultancy based in Hamburg. It combines data engineering, modern data architecture, business intelligence, and AI for companies across the DACH region.
Responsibilities
•Design and implement Databricks and Azure Lakehouse solutions, from connecting data sources to making data available for analytics and AI
•Develop production-ready pipelines with Python, PySpark, and SQL; improve existing solutions and establish testing, monitoring, and automated deployments
•Make clear decisions about data models, processing, and interfaces, accounting for maintainability, performance, and costs
•Implement data quality checks, access control concepts, and traceable data management, for example with Unity Catalog
•Translate business requirements into actionable work packages, explain technical options, and make effort and risks transparent to customers
•Support colleagues through reviews and knowledge sharing, and enable customer teams to further develop solutions
•Contribute to technical standards, reusable solutions, and the further development of the consulting offering
Requirements
•Extensive practical data engineering experience and responsibility for production data solutions
•Substantial project experience with Databricks and Microsoft Azure, particularly building or developing data platforms
•Strong Python/PySpark and SQL skills
•Experience with Lakehouse architectures, Delta Lake, and data modeling
•Proficiency with Git, CI/CD, and automated testing
•Ability to systematically analyze errors and improve solutions for reliability, runtime, and cost
•Experience working directly with customers or business units
•Very good German skills for customer consulting and good English skills
Nice to have
•Data Vault 2.0
•Migration of existing data warehouse solutions
•Power BI
•Semantic data models
•Self-Service Analytics
•Terraform, Infrastructure as Code
•MLflow
•RAG
•Integrating AI applications into enterprise data platforms
•Databricks or Azure certifications
Conditions
•Location: Hamburg
•Fixed-term contract for 12 months
•The role is offered through a recruitment agency
•Start date: immediately
•Clear focus on Databricks, Azure, and modern data platforms, customer projects combining architecture, practical implementation, and business value, opportunities to shape technical standards and reusable solutions, direct customer interaction, responsibility for transparent results, and scope to contribute experience and develop the consulting offering

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