Your Tasks

• Expand our analytics platform by enhancing the data model and load frameworks to address dynamic business requirements.
• Develop and iterate data models to effectively represent and communicate business needs, ensuring alignment with real-world entities and data relationships.
• Design innovative and future-proof solutions for the data landscape, leveraging Data Warehouse principles, and communicate these effectively with team members and stakeholders.
• Build robust data pipelines using Google Cloud Platform tools such as Pub/Sub, BigQuery, Composer, Dataform, and Cloud Run, applying DevOps principles to ensure automation and efficiency.
• Manage and provision cloud infrastructure as code (IaC) using Terraform, optimizing performance and scalability.
• Actively collaborate within the team and guide other product teams on data engineering best practices, including ETL processes and data management strategies.
• Leverage analytics and machine learning techniques to analyze high-volume, high-velocity, and diverse data, creating predictive insights to drive decision-making and deliver business value.
• Identify and validate internal and external datasets for innovative analysis and applications.
• Ensure GDPR-compliant use of data by coordinating with internal Data Privacy teams and adhering to data security, quality, and integrity standards.
• Use IT tools like Jira, Confluence, and Office to support efficient, organized, and collaborative operations.

Your Profile

• A degree in computer science, information systems, or a comparable field.
• Several years of professional experience designing and implementing cloud-based data platforms with a strong understanding of Data Warehouse architecture and concepts.
• Proficient in data engineering with SQL and Python (or optionally Kotlin), with practical experience in Google Cloud Platform and Terraform.
• Skilled in database design, data modeling, and developing complex systems from business needs through refinement, architecture, development, testing, and operations.
• Knowledge of Agile methodologies and ability to apply lean values, such as transparency, self-organization, and continuous improvement.
• Experience with DevOps practices, including continuous integration, deployment, and automation, to streamline workflows and improve system reliability.
• Familiarity with scripting languages and query tools for data analysis, such as Python, Scala, and SQL, and other technologies like NoSQL databases or graph query languages.
• Strong experience in applying analytics and machine learning techniques to discover patterns, build predictive models, and support decision-making.
• Proactive, growth-oriented mindset with strong critical thinking skills and a solution-driven attitude.
• Excellent communication and collaboration skills in English; proficiency in German is an advantage.

About Us

We are looking for a Senior Specialist (m/f/d) in our Data Foundation & Ad Tech team to drive our Personalization and strategic data projects forward with your innovative approach and fresh ideas for Product Recommendation. Our interdisciplinary team is characterized by agility, openness and respect. With us, you have the opportunity to contribute new impulses, actively shape processes and shape the retail media world of MediaMarktSaturn in a forward-looking way.

Additional Benefits

Job Infos

​Location: München

MediaMarktSaturn Marketing

Department: HQ - Marketing & Communication

Entrylevel: Professional Level

Type of Employement: Full Time

Working Hours: 37,5

Persona: Job Requisition HQ Employee

Recruiter: Sebastian Stange 

Recruiter: Sebastian Stange