Senior Data Engineer (m/f/d)

Hybrid/ Garching near Munich

We’re looking for Senior Data Engineer for Amer Sports’ office in Garching near Munich.

Amer Sports is a global collective of iconic sports and outdoor brands, powered by a community of people who share a passion for authenticity, impact, and excellence.

We bring together leading brands, talented teams, and a culture built on collaboration.

If you’re looking for an environment where you can make an impact and grow your career, we invite you to explore the opportunity below.

In this role, you will build the data foundations that power critical business decisions across Procurement, Supply Chain and Operations.

Working with technologies such as Databricks, SAP Datasphere and Azure, you will design scalable data products that transform complex SAP and non-SAP data into trusted insights, advanced analytics and AI-ready datasets.

This is an opportunity to work on large-scale global data challenges, collaborate with international stakeholders, and have a direct impact on how data is used across some of the world's most recognized sports and outdoor brands.

• What you will be doing
• Design and develop robust data pipelines integrating SAP and non-SAP systems.
• Build and maintain modern data processing solutions using Databricks and cloud technologies.
• Enable seamless access to trusted business data across procurement, operations and analytics functions.
• Create reusable data products
• Design reusable data models covering procurement, vendor, contract, logistics and operational datasets.
• Implement Medallion Architecture (Bronze, Silver, Gold) to support scalable analytics and reporting.
• Deliver consumption-ready datasets for self-service analytics and decision-making.
• Ensure governance, quality and trust
• Implement automated data quality checks and monitoring processes.
• Maintain data lineage, metadata standards and governance frameworks.
• Support secure access controls and data protection standards across analytical environments.
• Enable advanced analytics and AI
• Develop feature-ready data products that support spend analytics, supplier performance, risk management and AI-driven use cases.
• Collaborate with data analysts, business stakeholders and data scientists to create scalable analytical solutions.
• Continuously improve data accessibility and usability across the organization.
• Partner with business stakeholders
• Work closely with Procurement, Supply Chain, Operations and Analytics teams to understand business needs.
• Translate complex requirements into scalable technical solutions.
• Act as a trusted partner and technical advisor in driving data-driven decision making.
• Contribute to engineering excellence
• Apply modern software engineering practices including Git-based development, CI/CD and automated testing.
• Support the evolution of enterprise data platform standards and best practices.
• Share knowledge and promote high-quality engineering across teams.
• What you need to succeed
• 4+ years of experience in data engineering or similar roles.
• At least 2 years of hands‑on experience with Databricks, including Delta Lake, Delta Live Tables, Unity Catalog, and Workflows.
• Proven experience designing and implementing enterprise-scale data pipelines and data products.
• Experience working with SAP data sources and enterprise business applications.
• Strong ability to translate business requirements into practical, scalable, and reusable data solutions.
• Strong Python (Py Spark) and SQL skills for large-scale data transformation, automation, and pipeline development.
• Experience with SAP data integration approaches, such as OData, CDS views, BW extraction, or SAP Datasphere.
• Hands‑on experience with Azure technologies, including Azure Data Factory, Azure Storage (ADLS Gen2), and Azure Dev Ops.
• Experience building and maintaining API-based integrations using REST and SOAP.
• Familiarity with Git-based development workflows, CI/CD practices, and modern software engineering standards.
• Experience with data modelling, governance, lineage, and data quality frameworks.
• Experience delivering analytical datasets and reporting solutions through Power BI, SAP Analytics Cloud, or similar platforms.
• Bachelor's or Master's degree in Computer Science, Information Systems, Business Informatics, Engineering, or a related field, or equivalent practical experience.
• Professional proficiency in English and basic German language skills.
• Motivation to learn, grow, and continuously develop skills
• Motivation to contribute to work that supports healthier, more active lives
• What we consider a plus
• Experience working with Supply Chain, Procurement, Operations, or Commercial data domains.
• Familiarity with SAP ECC or S/4HANA data models, particularly within MM, LO, or related modules.
• Experience in federated or decentralized enterprise data environments.
• Exposure to AI, machine learning, predictive analytics, or AI-ready data product development.
• Experience contributing to engineering standards, governance frameworks, or enterprise data platform strategy.
• Databricks Certified Data Engineer Associate or Professional certification.
• SAP Datasphere certification.
• Experience supporting self-service analytics and building reusable data products for business users.
• What’s in it for you
• Global collaboration: Work with diverse, international teams and collaborate across brands, functions, and markets, learning from different perspectives along the way.
• Access to a global network of leading brands: Work within a global collective of iconic sports and outdoor brands, gaining exposure to different businesses, perspectives, and opportunities across Amer Sports.
• We’re in the game together: Join a culture built on trust, support, and shared responsibility, where progress is achieved together and success is celebrated as a team.
• Purpose‑driven environment: Be part of work that supports healthier, more active lives through our iconic sports and outdoor brands.
• Small teams, real impact: Contribute in small, trusted teams within a global company, where your ideas matter and your work can create real impact.
• Excellence in how we work: Join an environment where quality, innovation, and continuous improvement matter, and where people are encouraged to raise the bar in how work is done.
• Employee product benefits: Enjoy access to employee discounts on quality products from our iconic brands.
• Ambitious career development: Develop your skills through meaningful work, new challenges, and collaboration with experienced colleagues.
• Modern technologies and ways of working: Be part of teams that work with modern technologies and continuously evolve how we build, operate, and improve our digital solutions.
• IT: At Amer Sports, IT professionals have the chance to work on cutting-edge projects and implement advanced technologies, driving progress in a globally recognized company with prestigious brands.
• What to expect from the recruitment process
• CV screening: Every CV is reviewed by a human.
• Phone screening: A conversation with Amer Sports’ HR manager to discuss the role, our organization, and your expectations.
• Interviews: Usually 1–2 rounds, including interviews with the hiring manager and prospective team.
• Case studies or assessments: Your role may require practical tests, such as presentations or case studies.
• Feedback and decision: We aim to provide feedback throughout the process.
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