Senior Data Engineer - Data Integration, Data Warehouse

New

Wardow GmbH

Job

In this role, you will develop scalable data pipelines using SQL and Python, modeling data from various systems to create efficient ETL and real-time analytics workflows while continuously optimizing them.

Job summary

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Job technologies

Your role in the team

  • You work on our modern data stack (Snowflake, dbt), transforming raw data from our shop, ERP, marketing, product, and pricing systems into stable, versioned data models for analytics and (reverse) ETL.
  • You develop scalable data pipelines in SQL and Python, ensuring high-performance, fault-tolerant processing of large data volumes through orchestration, testing, and monitoring.
  • You are responsible for designing and implementing ETL, reverse ETL, and real-time analytics workflows, and continuously optimizing them for quality, scalability, and cost.
  • Together with the specialist departments, you analyze complex challenges, develop robust data and system solutions, and implement them end to end in production.
  • You develop a deep understanding of our data and process landscape, define interfaces and data flows, and ensure consistency, data lineage, and clear documentation.
  • You’ll take on increasing responsibility for technical leadership and coaching within the team, with a clear path toward a Team Lead role.

Our expectations of you

Education

  • Qualifications: completed degree in computer science or a comparable field, vocational training, or several years of relevant professional software development experience.

Qualifications

  • Expertise: broad knowledge of various technologies in the field of data engineering / data pipelines (e.g., Snowflake, Apache Airflow, dbt, Kafka), as well as in-depth knowledge of relevant programming languages (Python, SQL); also knowledge of data analytics (e.g., Tableau).
  • Personality and working style: self-reliant, solution- and customer-oriented, pragmatic and problem-aware, and willing to engage in dialogue and work closely with all relevant stakeholders (e.g. Marketing, Procurement, IT).
  • Languages: good command of English and German.

What we offer

  • We work primarily on-site in our modern office right by Lake Jungfernsee.
  • Our informal, first-name culture, onboarding tailored to you, and regular feedback meetings ensure that you receive the best possible support from day one.
  • Cross-functional projects with impact, AI-powered ways of working, and short decision-making processes — here, you have the space to continuously develop, supported by tailored learning and development opportunities.
  • Flexible workspaces await you right by the water.
  • For a little downtime, we have a rooftop terrace, coffee points, and a gaming area with a foosball table, PlayStation, and table tennis.
  • From board game nights to after-work barbecues—there’s always something going on here.
  • Whether it’s regular yoga classes in our in-house gym, our running group, complimentary drinks, or fresh fruit and a muesli bar every day—we’ve got everything you need for a healthy start to the day.
  • 40% employee discount, company pension scheme, language courses, and underground parking spaces.
  • Not from the area? No problem—with our relocation bonus, we’ll help you get started in Potsdam.

Benefits

Topics you will work on

Job locations

Map of the job locations
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  • Location Potsdam
    Brandenburg, Germany

About your employer

wardow.com ist der erfolgreiche Onlineshop für Taschen, Reisegepäck und Accessoires aus dem Premiumsegment. Das 2005 gegründete Unternehmen hat inzwischen weit über 12.000 Produkte von mehr als 100 Marken im Sortiment.

Company type
Established Company
Work model
Onsite
Industry
Trade

Employer reviews

3.2Total(2 reviews)
Engineering
x
3.0
Career growth
x
2.9
Working conditions
x
3.4
Team culture
x
3.8
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Senior Data Engineer - Data Integration, Data Warehouse

Wardow GmbH