Data Engineer – Product, Pricing & Inventory Data

Job not on LinkedIn

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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 and ETL/ELT pipelines for product, pricing, and inventory data • Integrate data from PIM systems, marketplaces, external content sources, and other operational systems into the Data Platform • Model and structure data related to products, attributes, assortments, prices, and inventory • Provide transparency into data quality, completeness, freshness, and availability • Develop appropriate quality checks and monitoring solutions • Reliably deliver data products for discovery, checkout, and fulfillment • Integrate event-based data sources, including Kafka • Ensure data governance, traceability, and consistent data standards • Work closely with Product Management, Engineering, Category, Content, and Pricing teams • Own data products from business requirements through production operations • Actively contribute to the Data Engineering Practice and the continuous improvement of shared standards and ways of working

🎯 Requirements

• Several years of experience in data engineering or a comparable role • Advanced 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-driven and streaming technologies • Knowledge of AWS • Ideally, experience with Infrastructure as Code using Pulumi or Terraform • Strong understanding of data quality, data governance, and processing large, heterogeneous datasets • Experience collaborating with cross-functional product or engineering teams • Independent, structured, and solution-oriented approach to work • German at least at B2 level and fluent English • Nice to have: Experience with product data, PIM systems, or classification standards • Nice to have: Knowledge of pricing, inventory, or availability data • Nice to have: Experience with data quality monitoring, data observability, or data mesh • Nice to have: Experience with market, competitor, or pricing data • Nice to have: Knowledge of BI tools such as Looker, Metabase, or Power BI • Nice to have: Experience in e-commerce, marketplace, or retail environments

🏖️ Benefits

• Flexible working hours • Mobile working • Professional development opportunities • Employee discounts • Additional benefits • Modern data stack featuring Snowflake, dbt, Prefect, Kafka, AWS, and Pulumi • Direct impact on the quality, freshness, and availability of critical product, pricing, and inventory data • Close collaboration with Product, Engineering, and business teams • Collaborative Data Engineering Practice with knowledge sharing and clear standards