Senior Data & AI Engineer (Munich, Germany)

We help organizations turn ambition into impact-by aligning strategy, building strong data foundations, delivering high-impact solutions at scale, and ensuring adoption and trust through governance and people focus. From Zurich, Munich, and Athens, we support clients across Europe with deep expertise along the entire data value chain. Our approach is pragmatic, people-centric, and built for lasting value.

In this role you will advise our clients during the conception, planning and implementation of data & AI solutions. Based in our Munich office, you will work with your project team to provide our clients the high quality and reliability we are known for.

Your tasks will include:

• Analyzing requirements and designing tailored data solutions
• Contributing to various project areas, which may include cloud engineering, infrastructure, data engineering, data science, and generative AI applications
• Presenting results and insights to stakeholders and management
• Occasionally traveling to Switzerland and internationally to meet clients and collaborate with our team at headquarters in Zurich, * An uncomplicated and low noise environment that enables to focus on what matters most.
• An international team of talented people from diverse backgrounds that have ambitions, always enjoy an additional challenge, and know how to have fun at work.
• Further development opportunities through our D ONE Academy including mentoring program, knowledge sharing sessions, expert and working groups, as well as tailor-made soft-skill and leadership training.
• Frequent offsite socializing events.

To be successful in this role you will need to:

• Strive to understand your clients' needs.
• Deliver outstanding results with high business value in a comprehensible form.
• Have the intellectual agility required to get the job done in an easy-to-do-business-with way.
• Value clever and creative team play.

Are you interested in joining a great team with a proven track record and to work on projects that will constantly challenge you?

• University degree in Computer Science or related fields required.
• Hands-on experience with data engineering tools and platforms.
• Excellent communication skills in English are essential., * University degree in Computer Science or related fields.
• At least 5 years of working experience in related roles.
• Solid hands-on experience with modern data engineering tools and platforms (e.g. Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry) as well as proficiency in SQL, Python and Spark
• Experience in designing and delivering generative AI solutions such as RAG systems, copilots, intelligent search, and workflow automation.
• Strong understanding of data modeling and data warehousing principles.
• Down-to-earth- and pragmatic result oriented attitude.
• Excellent communication skills in English.