Your Tasks

• Collaboration with Tech Leads: Evaluation and guidance of technical solutions for data infrastructure and analytics
• Backlog prioritization support: Contribution to backlog prioritization with a focus on cross-functional data initiatives and reduction of technical debt
• Third-party management: Management of relationships and deliverables from external data technology partners
• Team leadership and development: Leadership and mentoring of a diverse team of data analysts, engineers, and scientists, with a focus on professional growth and continuous learning
• Talent acquisition: Driving recruitment and hiring of internal and external data talent across multiple disciplines
• Resource and staffing ownership: Responsibility for staffing and resource planning, including coordination of data product secondments
• Data platform strategy contribution: Active contribution to the development and evolution of the data platform strategy
• Workforce planning: Strategic shaping of team composition and skill sets to ensure future readiness and success
• Internal networking: Building and maintaining strong cross-functional relationships and internal networks
• Escalation management: Handling of internal escalations with clarity, empathy, and solution-oriented communication
• Culture development: Fostering a culture of openness, collaboration, and alignment across teams
• Technical partnership: Acting as the technical counterpart to Product Managers and Product Owners
• Cross-functional alignment: Bridging technical and product perspectives to ensure alignment and shared outcomes

Your Profile

• Proven experience in engineering leadership with data-focused teams, ideally managing mixed teams of analysts, engineers, and scientists
• Strong technical background with the ability to evaluate and support data architecture decisions, including:
  
  • Data engineering technologies (Apache Spark, Kafka, Airflow, dbt)
  • Cloud data platforms (BigQuery, Snowflake, Databricks, or similar)
  • Data pipeline orchestration and ETL/ELT processes
  • Modern data stack tools and frameworks
  • SQL and Python for data analysis and engineering
  • Data modeling and warehousing concepts
• Nice to have: Experience with machine learning platforms, real-time streaming, or Java-based data processing
• Passion for people development and mentoring across different data disciplines
• Experience with agile methodologies and cross-functional collaboration in data-driven environments
• Excellent communication and conflict resolution skills
• A strategic mindset with a bias for action and data-driven decision making
• Understanding of data governance, privacy, and compliance requirements

About Us

MediaMarktSaturn Technology is working to make Europe’s number-one consumer electronics retailer the technology leader in its industry. To this end, several hundred developers, UX designers and system architects using state-of-the-art technology work hand in hand with business owners in agile teams to develop customer-focused technology solutions for more than 6 million customers every day in 11 countries.

The best solutions come from bringing together diverse perspectives. Embracing diversity is key to achieving our vision of becoming the Experience Champion. We value inclusion, foster equal opportunity, and welcome you to be part of our team.

Additional Benefits

Job Infos

​Location: Ingolstadt, München

MediaMarktSaturn Technology

Department: HQ - IT

Entrylevel: Professional Level

Type of Employement: Full Time

Working Hours: 37,5

Persona: Job Requisition Tech Employee

Recruiter: Laura Schröder 

Recruiter: Laura Schröder