Senior Data Platform Engineer
Senior Data Platform Engineer who designs, builds, and operates INTERSPORT's Group Data Platform on Microsoft Fabric and Azure, developing scalable Python/PySpark/SQL ETL pipelines for retail Sell-Out, Sell-In and Stock data to power reporting, analytics and AI, while owning data quality, governance and production reliability.
- Compensation
- Not disclosed
- Location
- Bern, Switzerland
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong hands-on experience with Microsoft Fabric, Azure data services, Python, PySpark, SQL and production ETL/ELT pipelines
- Practical knowledge of lakehouse and warehouse architecture, dimensional modelling, OneLake, semantic models and Power BI dependencies
- Experience integrating SAP, relational databases, APIs and file-based data, including XML, JSON, CSV and Parquet
- Sound engineering practices covering Git, CI/CD, automated testing, environment management, monitoring, security, data quality and governance
- Ability to troubleshoot complex data, pipeline, performance and connectivity issues and design maintainable, metadata-driven solutions
- Knowledge of foundations for trustworthy AI: high-quality data, metadata, semantic models, lineage, access controls, privacy and responsible-use principles
- Clear, concise communicator adapting technical content for business, executive and engineering audiences
- Strong collaborator aligning diverse stakeholders, facilitating decisions and working across international, cross-functional teams
- Disciplined in documentation and knowledge transfer, with a service mindset
- Degree in Computer Science, Data Engineering, Information Systems, Software Engineering or a related field, or equivalent relevant professional experience
- Five to eight years progressive experience in data engineering, data-platform development or a closely related technical role
- Proven ownership of production data pipelines and platforms across the full lifecycle, from requirements and architecture to deployment and support
Nice to have
- Experience in retail, consumer goods, international organisations or SAP transformation
Full description
Do you want to work at the Heart of Sport, at the pulse of the global sporting goods industry, with the leading sport brands in the world? Then you need to join INTERSPORT.
We are looking for a motivated and detail-oriented Senior Platform Data Engineer to join our growing data team.
ABOUT THE ROLE
As a Senior Data Platform Engineer, you will design, build and operate INTERSPORT's Group Data Platform and trusted retail data products that power reporting, analytics and AI across the business. Working closely with data analysts and business stakeholders, you will develop scalable, reliable and governed data pipelines that transform Sell-Out, Sell-In and Stock data into actionable insights, enabling better decision-making and more efficient commercial operations. You will play a key role in ensuring data is accessible, trusted and fit for purpose while supporting SAP modernisation and the responsible adoption of Microsoft Copilot and generative AI.
RESPONSIBILTIES
- Design, build, test and operate scalable solutions in Microsoft Fabric and Azure, including OneLake, lakehouses, warehouses, notebooks, semantic models and pipelines.
- Build reusable ETL/ELT pipelines and transformations using Python, PySpark and SQL across SAP, databases, APIs, files and external-provider data.
- Deliver governed data products for Group Sell-Out, Stock and Sell-In reporting, SAP decommissioning, analytics, AI and Copilot.
- Optimise performance, storage and capacity, with effective monitoring, alerting, recovery, testing and release controls.
Data quality, governance and operational ownership
- Embed automated quality controls, reconciliation and observability; resolve incidents through root‑cause analysis and corrective action.
- Maintain lineage, metadata, data contracts, source‑to‑target rules, business definitions, ownership, access controls and technical documentation.
- Own production reliability, runbooks and support procedures, balancing delivery speed with resilience, security, privacy and maintainability.
Technical leadership and collaboration
- Translate business needs into clear technical scope, outcomes and acceptance criteria; communicate complexity, options, dependencies, risks and trade‑offs in accessible language.
- Collaborate closely with analysts, business owners, IT teams, National Organisations and partners, building trust across cultures and functions and creating shared accountability for outcomes.
- Facilitate decisions, workshops and design reviews; listen actively, challenge constructively, manage expectations and facilitate a collaborative culture.
- Set engineering standards, review architecture and code, mentor colleagues and promote documentation, knowledge sharing and continuous improvement.