Data Engineer – Commerce and Customer Data

Job not on LinkedIn

🔥 0 minutes 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 and operate scalable data products as well as ETL and ELT pipelines for commerce and customer domains • Model data from checkout, orders, payments, customer, loyalty, and customer service systems • Make data available to product teams and analytics • Integrate data from different systems and event-based sources, including via Kafka • Develop high-performance, transparent, and reusable data models using the modern data stack • Ensure data quality, governance, and privacy, particularly for personal customer and payment data • Work closely with Product Management, Software Engineering, Data, and Business teams • Own data products from requirements through production operations • Actively contribute to the Data Engineering practice and further develop shared standards and ways of working

🎯 Requirements

• Several years of experience in data engineering or a comparable role • Very strong knowledge of SQL and Python • Experience with ETL/ELT and data modeling • Experience with a modern data stack, ideally Snowflake, dbt, and Prefect • Experience with Kafka or comparable event and streaming technologies • Knowledge of AWS • Ideally, experience with Infrastructure as Code using Pulumi or Terraform • Good understanding of data quality, data governance, and the handling of personal data • Experience collaborating with cross-functional product or development teams • Independent, structured, and solution-oriented approach to work • German at least at B2 level and confident English skills • Nice to have: Experience with e-commerce, checkout, order, or payment data • Nice to have: Knowledge of customer data, CRM, loyalty, or customer service • Nice to have: Experience with Data Mesh and domain-oriented data products • Nice to have: Knowledge of BI tools such as Looker, Metabase, or Power BI • Nice to have: Experience building data pipelines for AI or machine learning applications

🏖️ Benefits

• Flexible working hours • Remote and mobile working options • Professional development opportunities • Employee discounts • Additional benefits