Wardow is Europe's leading online specialist for high-quality bags, luggage, and accessories in the premium segment. "Always the best. Always by your side." – that's our promise. With the highest standards for quality, style, and durability, we set benchmarks and aim to offer products that last a lifetime.

What sets us apart? A modern corporate structure with flat hierarchies, short decision-making processes, and a strong team spirit. Our work culture is characterized by innovation, entrepreneurial spirit, and genuine passion – whether in the office, the logistics center, or the online shop: we live and love what we do!

If you're looking for a motivated environment where you can contribute your ideas and grow with a dedicated team, then apply now and become part of Wardow as a Senior Data Engineer (m/f/d) – Data Integration, Data Warehouse, full-time, at our Potsdam location.

Your mission

• You will work on our Modern Data Stack (Snowflake, dbt) and model raw data from shop, ERP, marketing, and product and pricing systems into stable, versioned data models for analytics and (reverse) ETL.
• You develop scalable data pipelines in SQL and Python and ensure high-performance and fault-tolerant processing of large data volumes through orchestration, testing and monitoring.
• You are responsible for the design and implementation of ETL, reverse ETL and real-time analytics workflows, and you continuously optimize them in terms of quality, scalability and cost.
• Together with the specialist departments, you analyze complex problems, develop viable data and system solutions from them and implement them productively end-to-end.
• You will build a deep understanding of our data and process landscape, define interfaces and data flows, and ensure consistency, data lineage, and clean documentation.
• You will take on increasing responsibility for professional leadership and coaching within the team – with a clear perspective towards a team lead role.

We need this

• Qualifications: completed studies in computer science or a comparable field of study or training, or several years of relevant experience in professional software development
• Expertise: broad knowledge of various technologies in the field of data engineering / data pipelines (e.g., Snowflake, Apache Airflow, dbt, Kafka) as well as sound knowledge of relevant programming languages ​​(Python, SQL); also knowledge of data analysis (e.g., Tableau)
• Personality and working style: self-reliant, solution- and customer-oriented, pragmatic and problem-aware, as well as willing to exchange ideas and cooperate closely with all relevant stakeholders (e.g., marketing, purchasing, IT)
• Language: good knowledge of English and German

You can look forward to this with us

• Community & Team Spirit: We are primarily based in our modern office directly on the Jungfernsee lake. Our informal, first-name basis culture, a personalized onboarding process, and regular feedback sessions guarantee that you will receive optimal support from the very beginning.
• Shape the future & grow: Cross-team projects with impact, AI-supported working methods and short decision-making processes – with us you have the space to continuously develop yourself, accompanied by individual training opportunities.
• Modern work environment: You can expect flexible workspaces right by the water. Our rooftop terrace, coffee points, and gaming area with foosball, PlayStation, and table tennis provide a welcome break. From board game nights to after-work barbecues – there's always something going on here.
• Staying fit together: Whether it's regular yoga classes in our in-house gym, our running group, free drinks as well as fresh fruit and a muesli bar every day – we take care of a healthy start to the day.
• On top of that: 40% employee discount, company pension scheme, language courses and underground parking spaces. Not from the area? No problem – we'll support you with our relocation bonus to help you get settled in Potsdam.
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