Senior Data Engineer - Azure Cloud (m/w/d)
Job description
An experienced data engineer to design, build and take technical ownership of central data platforms in Microsoft Azure for clients, with a development path to Principal Architect Data & Cloud.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · Berlin, Germany
- Languages
- German – C1, English – C1
- Pay
- EUR 70,000 – 100,000 / year
What you'll do
- Design, build and further develop central data platforms in Microsoft Azure, taking technical responsibility towards the client, independently or as a senior in the project team.
- Connect enterprise systems and machine data via interfaces and model the data so it is ready for AI applications, analyses and dashboards.
- Build cloud infrastructure for clients with Infrastructure as Code and automate provisioning and operations via CI/CD.
- Implement security, permissions and tenant separation so each user group sees exactly the data it is allowed to see.
- Contribute to pre-sales, build knowledge in the team and further develop the data and cloud offering.
What we're looking for
- Several years of experience as a cloud data engineer, ideally 4+ years, ideally in Microsoft Azure, with very good SQL and Python skills.
- Experience with data integration via interfaces as well as data modelling and reporting, ideally with Power BI.
- Experience with Infrastructure as Code and CI/CD as well as good knowledge of cloud security and permission concepts, ideally with Entra ID.
- Fluent German and English (C1) for working with clients.
- The desire to develop along the specialist career path towards Principal Architect Data & Cloud.
Nice to have
- Hands-on experience with Microsoft Fabric, alternatively Azure Synapse or Databricks, and willingness to move to Fabric.
- Basics in machine learning.
- Experience with machine and IoT data, e.g. via OPC UA, MQTT or Azure IoT Hub.
- Industry knowledge in logistics, finance or industry.
Your team
Team KI & Software Engineering
Team focused on AI consulting and implementation and software engineering.
Benefits
Target salary of 70,000–100,000 € gross per year depending on experience, including variable compensation based on project and company success, plus company pension with employer contribution.
A clear development path to Principal Architect Data & Cloud with transparent criteria and regular development discussions.
Personal training budget, paid certifications (e.g. Microsoft Azure and Fabric) and room for conferences, articles and talks.
Office in Berlin-Wilmersdorf (directly at U7/U9 Berliner Straße), plus one home office day per week, flexible working hours with time account, full or part time and up to 2 weeks workation per year in the EU.
28 days holiday, Mac or PC of choice, company mobile phone, mobility allowance, flexible benefits via ProBonio including health and sport, and regular team events.
- Room to shape the architecture and approach of data platform projects and real influence on the data and cloud offering.
- Up to 20% of working time on site at the client.
Apply
About KRALLMANN AG
Strategy consulting, AI consulting and implementation, business process management, enterprise architecture management and software engineering from a single source.
A family-owned company founded in 2006 by Prof. Dr. Hermann Krallmann, offering scientifically grounded consulting and software engineering and acting as a partner in research consortium projects.
Mission
To support clients as a partner across the entire transformation cycle, combining organizational, technical and psychosocial dimensions.
Key facts
- 2006
- Berlin
- Family-owned company founded in 2006 by Prof. Dr. Hermann Krallmann, emeritus professor at TU Berlin, who is still actively involved.
- Works scientifically grounded and as a partner in research consortium projects.
- Serves well-known clients from logistics, finance and industry across the entire transformation cycle, beyond go-live.
- Flat hierarchies, short decision paths and a direct line to the founder.
What they value
- Partnership: working at eye level and for the long term with clients, colleagues and research partners.
- Listening: understand first, then shape; speak the language of clients and take people along.
- Substance: work scientifically grounded, carefully and technologically up to date; only recommend what can be justified.
- Commitment: take responsibility as if it were one's own company, keep promises and stay when it matters.