Data Insight Consulting GmbH

We help data-driven companies take their data and analytics infrastructure to the next level. Too many companies waste time and money on manual deployments, error-prone processes, and inconsistencies between development and production environments. This not only leads to technical problems but also undermines trust in their own data. Data Insight Consulting GmbH specializes in designing and implementing modern, automated, and modular data platforms on the Databricks Lakehouse Platform. What we deliver: 1. Infrastructure as Code (IaC) with Terraform: We version your entire Databricks infrastructure—workspaces, clusters, permissions—as code. This creates maximum transparency, traceability, and security. 2. CI/CD for Data Jobs with Databricks Asset Bundles: No more manual deployments: New pipelines are automatically and consistently rolled out to all environments via pull requests—quickly, reliably, and auditably. 3. Modular, Reusable Components We don't develop monolithic platforms, but rather build flexible architectures from reusable building blocks. This reduces maintenance effort and significantly accelerates development. Your benefits: Speed: Launch new data products in days instead of months. Reliability: Robust, error-free processes through automation. Scalability: A platform that grows with your company.

28/09/2026
Full time
Data Insight Consulting GmbH Homeoffice & More, Luitpoldstraße, Erlangen, Germany
Do you want to help shape architectural decisions, develop them yourself, and experience the impact of your work on clients? At Data Insight Consulting, you'll support companies from technical conception to productive data pipelines and reliable analyses. We are a Hamburg-based consulting firm specializing in Databricks and Microsoft Azure. We combine data engineering, modern data architecture, business intelligence, and AI for companies in the DACH region (Germany, Austria, and Switzerland). To strengthen our team, we are looking for an experienced individual who can take on technical responsibility and provide clear and understandable consulting services to clients. Your tasks Developing data platforms: You design and implement Lakehouse solutions on Databricks and Azure – from connecting data sources to deployment for analytics and AI. Making pipelines production-ready: You develop with Python, PySpark and SQL, improve existing solutions and establish tests,...