You enjoy developing technical solutions while working closely with business teams and stakeholders? You want to design modern data platforms and turn raw data into a reliable basis for decision‑making? You want to build data pipelines, models and architectures that are genuinely used in our clients’ day‑to‑day work?
You support our clients in designing, implementing and bringing modern data platforms and data-management solutions into productive use
You design data‑warehouse and lakehouse architectures from the initial idea through to live operation
You develop and operate robust ETL/ELT pipelines, ensuring proper monitoring and reliable error handling
You model data and implement performant data structures for analytics and BI applications
You integrate diverse data sources into a consistent and reliable data foundation
In your role, you implement data quality and governance pragmatically, creating transparency and traceability across data flows
You provide data for analytics and BI and support the delivery of dashboards and reports
Working closely with business teams, you capture requirements in workshops and translate them into robust technical concepts
A completed degree in Computer Science, Data/Analytics, (Business) Engineering or a comparable qualification, along with around two years of hands‑on experience in a data‑related role
Very strong SQL skills, including window functions, sound data modelling and performance basics, as well as good, hands‑on Python skills for data processing and automation
A solid understanding of data‑warehouse concepts and modern lakehouse architectures, combined with initial experience in analytics and BI setups
Practical experience with Power BI or Qlik Sense, particularly in data modelling, measures and basic publishing topics
Enjoyment of consulting work, a structured way of working and a strong team mindset, combined with very good German and good English skills
Ideally, you also bring initial exposure to cloud platforms, modern data tools, data quality or governance topics, or SAP data models – industry experience is a plus, but not a must
A varied role with a high level of responsibility
Continuous learning and development opportunities
A mentoring programme
A friendly, close‑knit and supportive working environment
Team events and company retreats
Mobility benefits
Great, centrally located office in Munich
Free drinks, fruit and yoghurts in the office
Company laptop and company mobile phone
Sports and fitness offers
