Data Engineer – Data Platform
Location
Germany
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer – Data Platform
INTERSPORT Deutschland eG
• Develop, implement and optimize scalable data pipelines for reliable and secure data flows • Model and transform data according to modern best practices • Develop and operate ETL and ELT processes as well as orchestrated data pipelines • Work with modern cloud technologies, preferably AWS, and support the expansion of our Cloud Data Platform • Analyze and optimize data processes with respect to performance, scalability, stability and data quality • Work closely with data scientists, analysts, product teams and developers
Job Requirements
- Several years of hands-on experience in data engineering
- Excellent knowledge of SQL and Python
- Experience with modern data stack technologies such as Snowflake, dbt, Prefect, Airflow, BigQuery or comparable tools
- Experience with ETL/ELT processes, data modeling and building robust data pipelines
- Experience with AWS or a comparable cloud platform
- Basic understanding of Infrastructure as Code, ideally with Pulumi or Terraform
- Analytical thinking and the ability to explain complex technical topics clearly
- Independent, structured and solution-oriented working style
- Openness to agile ways of working, teamwork and continuous improvement
- German language skills at least at B2 level and strong English skills
- Nice to have: Experience in an e-commerce environment or with marketplace and platform business models
Benefits
- Flexible working arrangements
- Professional development
- Remote work options
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Snowflake Data Engineer
Evolved IdeasWe don't just build technology, we build highly scalable technology-enabled businesses.
• Contributing to a high-scale, complex product and seeing the real-time impact of your work
Software Engineer II – Data Platform
Pantheon PlatformWebsite Operations Platform for Drupal & WordPress
• Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines. • Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions. • Support self-service tooling and a data-driven culture across Pantheon's teams. • Contribute to the technical strategy and operations of Pantheon's data platform. • Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms. • Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.
• Diseñar e implementar arquitecturas de datos en Microsoft Fabric. • Desarrollar pipelines de ingesta de datos. • Conocimiento de modelos semánticos en Power BI conectados a Fabric. • Conocimiento de modelos de datos. • Conocimiento rendimiento de consultas DAX, SQL.
Senior Data Engineer – Platform Experience
IntersogSolve Business Challenges with Innovative Technologies
• Lead end-to-end delivery of data platform initiatives with full ownership of quality and documentation • Partner directly with stakeholders to define requirements and proactively communicate scope or technical impacts • Operate autonomously, escalating blockers with recommended solutions • Drive technical decisions and mentor peers on platform design and engineering best practices • Represent the engineering team confidently in cross-functional and stakeholder discussions



