Data Engineer – Fulfillment & Logistics Data

Job not on LinkedIn

🔥 13 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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