Data Engineer – Data Platform

Job not on LinkedIn

🔥 4 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, implement, and optimize scalable data pipelines for reliable and secure data flows • Model and transform data according to modern best practices, including versioning, historization, and documentation • Develop and operate ETL and ELT processes as well as orchestrated data pipelines • Work with modern cloud technologies, preferably AWS, and support the expansion of the data platform • Use Infrastructure as Code, ideally Pulumi or Terraform, to ensure the stable and scalable advancement of the data platform • Analyze and optimize data processes with regard to performance, scalability, stability, and data quality • Collaborate closely with Data Scientists, analysts, product teams, and developers to enable data-driven decision-making • Actively contribute to the continued development of data engineering standards and the modernization of the BI and data landscape • Develop a company-wide data foundation as a single source of truth for analytics and reporting

🎯 Requirements

• Several years of hands-on experience in data engineering, ideally in production cloud data platform environments • Very strong knowledge of SQL and Python • Experience with modern data stack technologies such as Snowflake, dbt, Prefect or Airflow, BigQuery, or comparable tools • Experience with ETL/ELT processes, data modeling, and building robust data pipelines • Experience with AWS or a comparable cloud platform • Initial experience with Infrastructure as Code, ideally using Pulumi or Terraform • Strong analytical thinking and the ability to communicate complex technical concepts clearly • Independent, structured, and solution-oriented working style • Willingness to work in an agile environment, collaborate as part of a team, and pursue continuous improvement • German language skills at least at B2 level and fluent English • Residence in Germany is mandatory • Experience in e-commerce or with marketplace and platform business models (nice to have) • Knowledge of BI tools such as Looker, Tableau, or Power BI (nice to have) • Experience with event streaming or distributed data architectures, e.g., Kafka or Spark (nice to have) • Understanding of data quality, data governance, and monitoring (nice to have) • Experience collaborating with cross-functional product teams (nice to have)

🏖️ Benefits

• Full-time position • Remote work arrangement • Start-up atmosphere • Collaboration in an agile team • Continuous improvement and advancement of data engineering standards