Data Engineer – Data Platform

Job not on LinkedIn

🔥 1 minute ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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INTERSPORT Deutschland eG

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏨 Hospitality

✈️ Travel

🛒 Retail

Hospitality • Travel • Retail

INTERSPORT Deutschland eG is a German sporting-goods cooperative that operates the redblue multifunctional event location in Heilbronn-Franken. The organization provides modern, flexible event spaces and full-service event support for corporate events, trade fairs, conferences, concerts and cultural programs, and handles bookings, hospitality and visitor services for a wide range of public and private events.

📋 Description

• Develop, implement and optimize scalable data pipelines to ensure reliable and secure data flows • Model and transform data according to modern best practices, including versioning, history preservation and clear documentation • 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 the data platform • Use Infrastructure as Code, ideally Pulumi or Terraform, for reliable and scalable development of the data platform • Analyze and optimize data processes with respect to performance, scalability, stability and data quality • Collaborate closely with data scientists, analysts, product teams and developers • Contribute to the further development of data-engineering standards and the modernization of the BI and data landscape

🎯 Requirements

• Several years of hands-on experience in data engineering, ideally in production cloud data platform environments • Strong skills in SQL and Python • Experience with modern data-stack technologies such as Snowflake, dbt, Prefect or 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 • Initial experience with 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 confident English • Residence in Germany is mandatory

🏖️ Benefits

• Full-time • Remote work