Data Engineer – Fulfillment & Logistics Data

Job not on LinkedIn

🕒 September 27

🇩🇪 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 as well as ETL and ELT pipelines for fulfillment and logistics processes • Integrate data from order management systems, marketplaces, shipping providers, and tracking systems • Model data related to shipping, delivery, returns, refunds, and partner performance • Establish the data foundation for SLA monitoring, performance analysis, and dashboards • Provide fulfillment and tracking data to other product areas and digital services such as Customer Service • Integrate event-based data sources, including Kafka • Ensure data quality, governance, and privacy • Further develop monitoring and quality checks • Work closely with Product Management, Engineering, and Operations • Own data products from business requirements through production operation • Actively contribute to the Data Engineering practice and help develop 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 integrating operational or transactional systems and APIs • 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 and Data Governance • Experience collaborating with cross-functional product or development teams • Independent, structured, and solution-oriented approach to work • German at least at B2 level and fluent English • Nice to have: Experience with order, fulfillment, logistics, or shipping data • Nice to have: Knowledge of OMS, carrier, or tracking systems and their interfaces • Nice to have: Experience with SLA and performance monitoring or data-driven partner management • Nice to have: Knowledge of Data Mesh and domain-oriented data products • Nice to have: Experience with BI tools such as Looker, Metabase, or Power BI • Nice to have: Experience in e-commerce, marketplace, or platform 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 fulfillment efficiency, delivery quality, and partner performance • Close collaboration with Product, Engineering, and Operations • Collaborative Data Engineering practice with knowledge sharing and clear standards