Data Engineer – Fulfillment & Logistics Data

Job not on LinkedIn

🔥 7 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 fulfillment and logistics processes • Integrate data from order management systems, marketplaces, shipping carriers, and tracking systems • Model data related to shipping, delivery, returns, refunds, and partner performance • Build 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, while continuously improving 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, with experience in ETL/ELT and data modeling • Experience integrating operational or transactional systems and APIs • Experience with a modern data stack, ideally including Snowflake, dbt, and Prefect • Experience with Kafka or comparable event and streaming technologies • Knowledge of AWS; ideally also experience with Infrastructure as Code using Pulumi or Terraform • Solid understanding of data quality and Data Governance • Experience collaborating with cross-functional product or engineering teams • Independent, structured, and solutions-oriented approach to work • German at least B2 level and fluent English • 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 an e-commerce, marketplace, or platform environment (nice to have)

🏖️ Benefits

• Flexible working hours • Remote work options • Professional development opportunities • Employee discounts • A 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 • A shared Data Engineering practice with knowledge exchange and clear standards