Job
- Level
- Lead
- Location
- Cologne
- Working Model
- Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop a central data model on Databricks, integrate ERP and CRM systems, and implement AI-driven automations for efficient data processing.
Job Technologies
Your role in the team
- Our data platform runs on Databricks. The foundation is in place - the exciting work begins now: a data model that supports the entire company, clean integrations into ERP, CRM, and market data, AI applications built on top of it, and standards that support a growing team. We are looking for you as Lead Data Engineer - Data Platform & AI (m/f/d).
- You take technical ownership of the platform: architecture, data model, and implementation are your decisions. You work hands-on with Python, SQL, and Databricks, with end-to-end ownership from prototype to operation – and utilize AI-assisted development (e.g., Claude Code) as a standard tool, not as an additional topic.
- Own the data platform: You will further develop our Databricks Lakehouse - architecture, pipelines, operations, costs - and decide what and how we expand.
- Build data models: You design the core data model for products, customers, markets, and transactions – the foundation for reporting, self-service, and AI. You decide how much structure we need and where pragmatism prevails.
- Integrate systems: You connect ERP (Microsoft Dynamics 365 Business Central), CRM, external market data, and APIs - robust, documented, monitored.
- Implementing AI: You develop LLM-based workflows, agents, and internal tools that build on the platform and take over real work for the business units.
- Engineering efficiency: You automate what makes engineering slow – deployments, tests, monitoring, infrastructure as code – so that platform changes go into production in minutes instead of days and pipelines run reliably even without supervision.
- Technical leadership: You set the guidelines for code quality, Git workflow, and documentation, review what goes on the platform, act as a sparring partner for analysts and product owners, and serve as a technical counterpart for external developers and partners.
- Working with the business: Together with our Product Owner, analysts, and departments, you translate requirements into operational solutions - from prototypes in days to stable operations.
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Our expectations of you
Qualifications
- Databricks: You have built in a productive environment on Databricks or a comparable Lakehouse stack (Spark, Delta Lake) and know how to operate a platform, not just use it.
- Data modeling: You have designed data models that have proven effective in operation - dimensional modeling, master data, hierarchies - and can explain why you chose each approach.
- Python & SQL: Very good knowledge for data processing, integrations, and automation.
- Confident handling of Git, CI/CD, and clean code – and the ability to set standards within a team without creating bureaucracy.
- AI Practice: You work with LLM APIs and AI-powered development tools in your daily work and have ideally already implemented workflows or agents in production.
- Excellent spoken and written German skills.
- Builder mindset: You deliver prototypes in days instead of weeks, think in outcomes, and bring things into operation.
Experience
- Several years of experience as a builder in the data/tech environment - as a Senior Data Engineer, Analytics Engineer, Tech Lead, or all-rounder. Whether you already hold the title of Tech Lead or are aiming for it here, it doesn't matter to us - skills matter more than years of professional experience.
- Experience with integrations and APIs: you connect systems that were not originally designed to work together. ERP experience is a plus.
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What we offer
- Impact & Ownership: You make the technical decisions for the platform, implement them within the team with a Junior Engineer, and have direct contact with founders and management.
- A platform that is established — and space to shape it: You don't start on a blank canvas, but on a productive Lakehouse. How it develops is up to you.
- Modern stack, modern working methods: Databricks, Python, AI-driven development - no legacy, no "We've always done it this way".
- Speed & Responsibility: Clear focus on outcomes and quick decisions rather than hierarchy.
- Purpose: You experience the development of a pioneering market - and drive it forward.
- Team spirit: An ambitious team with a pragmatic and positive hands-on culture.
- Canteen subsidy: Modern office complex in Cologne including a canteen subsidized by us (hot meals, salad bar, bowls of the day, and more).
- Hrmony: Benefit portal where you can choose individual vouchers monthly (e.g., Urban Sports, DB, Ikea, or REWE)
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Topics You Will Work On
Job Locations
About Your Employer
enua group
enua Pharma GmbH is a Cologne-based provider of medical cannabis. The company positions itself as an independent manufacturer focused on high quality standards and supplying pharmacies in Germany.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Lead Data Engineer - Data Platform & AI
- Location
- Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
