Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will build scalable data pipelines using Databricks and Apache Spark, optimize them for performance and cost, and ensure data quality and governance while collaborating with international teams.
Job Technologies
Your role in the team
- Building and maintaining scalable data pipelines and ingestion frameworks using Databricks, Delta Live Tables, Auto Loader, and Apache Spark.
- Developing reliable and well-documented data products across the Medallion architecture (Bronze, Silver, Gold layers).
- Delivering data assets consumable through Unity Catalog, Databricks SQL, and Power BI.
- Optimizing data pipelines for performance, scalability, reliability, and cost efficiency.
- Implementing data quality monitoring, governance standards, and pipeline observability.
- Zusammenarbeit mit globalen Marken- und Regionalteams, um Geschäftsanforderungen in wiederverwendbare Datenlösungen zu übersetzen.
- Applying engineering best practices, including Git-based workflows, CI/CD principles, code reviews, testing, and documentation.
- Contributing to the continuous evolution of the enterprise data platform and data engineering standards.
- Supporting incident resolution, troubleshooting, and ongoing platform improvements.
- You will report to the Director of Data Engineering.
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Our expectations of you
Education
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent practical experience).
Qualifications
- Starkes praktisches Wissen in Databricks, einschließlich Delta Live Tables, Auto Loader, Workflows, Unity Catalog und Databricks SQL.
- Vertrautheit mit Azure-Diensten wie Azure Data Factory, Azure Blob Storage / ADLS und Azure DevOps.
- Understanding of Git-based workflows, CI/CD practices, and software engineering standards.
- Basic understanding of interoperability patterns such as Delta Sharing, APIs, and cloud-based data integrations.
- Strong analytical and problem-solving skills with attention to quality and detail.
- Structured and delivery-focused mindset with the ability to work independently and reliably.
- Clear communication and documentation skills.
- Collaborative approach and willingness to work across international teams and functions.
- Curiosity and eagerness to continuously learn and develop technical expertise.
- Pragmatic and solution-oriented approach to challenges.
- Motivation to contribute to impactful data solutions supporting healthier, more active lives.
- Professional proficiency in English is required.
- Preferred certifications (not mandatory): Databricks Certified Data Engineer Associate, Microsoft Azure Data Engineer Associate (DP-203), Azure Fundamentals.
Experience
- 2-4 years of experience in data engineering, including hands-on work with Databricks or Apache Spark in a professional environment.
- Experience building and maintaining pipelines across Medallion architecture layers (Bronze, Silver, Gold).
- Experience working with enterprise or cloud-based source systems; SAP/S4HANA experience is considered an advantage.
- Experience working in cloud environments, preferably Microsoft Azure.
- Solid experience with Apache Spark (PySpark), Delta Lake, Python, and SQL.
- Experience with data quality monitoring and governance tooling.
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What we offer
- Employee product benefits: Enjoy access to employee discounts on quality products from our iconic brands.
- Financial security: Secure your financial future with subsidies for our company pension plan and employee profit-sharing plan.
- Discounts on quality products: Benefit from compelling discounts on our own-brand products (including Arc'teryx, Salomon, Wilson, Atomic, Peak Performance, and more).
- Commute with ease: Simplify your daily commute with benefits for public transportation.
- Job bike program: Choose a more sustainable commute with our job bike program, and experience the physical and mental health benefits.
- 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.
- 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.
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This is your employer
Amer Sports
Amer Sports (www.amersports.com) is a sporting goods company with internationally recognized brands such as Salomon, Arc'teryx, Peak Performance, Atomic, Suunto, Wilson and Precor. The company's technically advanced sports equipment, footwear and apparel products improve performance and increase the enjoyment of sports and outdoor activities. The Group's business is balanced by its broad portfolio of sports and products and by its presence in all major markets.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Sports, Leisure, Trade
Data Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
