Data Engineer (m/w/d) - 100%

Turn moments into memories

At ifolor, we turn special moments into lasting memories. To achieve this, we need more than just strong products. We need a solid data foundation.

As a Data Engineer in Marketing, you create precisely this foundation: You connect data from diverse sources, make it usable, and enable informed decisions throughout the entire customer journey. Your work transforms data into real impact – for marketing, for our customers, and for ifolor.

Why ifolor?

• Work-life balance: At ifolor, we value flexibility. Our hybrid work model combines the best of both worlds: We're together in the office three days a week – for collaboration and team spirit. On the other days, you decide whether you want to work on-site or from home.

• Financial benefits: At ifolor, you benefit from numerous additional perks: We cover 100% of the costs for supplementary accident insurance and daily sickness allowance, and the pension fund is financed on a fair 60/40 basis. In addition, you'll receive partially subsidized meals at Boostbar, free coffee, free parking, a birthday voucher from Bontique, ifolor vouchers, and 100% salary during maternity leave.

• Education & Development: At ifolor, you shape your own development path. Whether professional or personal, we support you with suitable training opportunities, individual support, and the necessary freedom to achieve your goals.

Your role with us

As a Data Engineer in Marketing, the focus is on developing and operating data pipelines and data models for marketing analytics. This role ensures that data is available reliably, transparently, and in high quality along the entire value chain – from source systems to dashboards and models.

• Data Pipelines & Integration: Development and operation of ETL/ELT pipelines for the integration of marketing data sources such as Google Ads, Meta, Braze, CRM, web analytics, order management and product catalog.

• Data modeling & analytics enablement: Conception and implementation of data models from staging to data marts to support reporting and analysis.

• Requirements translation & collaboration: Close coordination with the Senior Marketing Analyst to translate reporting requirements into scalable and high-performing data solutions.

• Data quality & monitoring: Implementation of automated data quality tests and monitoring of pipeline stability and performance.

• Documentation & Transparency: Structured documentation of data pipelines, models and transformation logics, as well as maintenance of a data lexicon.

• Platform & further development: Participation in the DWH modernization project, especially in architecture, migration and implementation of domain-specific components.

• Operations & Stability: Support and deputization in the operation of the central DWH and Azure infrastructure to ensure platform stability.

What you bring to the table:
You combine technical understanding with a structured work style and a good sense for data relationships in a marketing environment. You enjoy working at the interface between data, technology, and business.

• Experience & Know-how: Several years of experience in data engineering (at least 3 years), ideally in e-commerce or marketing.

• Cloud & Technologies: Practical experience in the Azure environment (e.g. ADF, TimeXtender) as well as knowledge of Python or comparable technologies.

• Data modeling & SQL: Very good SQL knowledge and experience in dimensional data modeling (Star Schema, Medallion architecture, etc.).

• Marketing data understanding: Understanding of marketing data sources and their specific features such as APIs, attribution logics, or deduplication.

• Working style & collaboration: Structured, independent working style and ability to translate requirements into technical solutions.

• Languages: German and English, both spoken and written.

• Certifications : Ideally, existing Azure certifications.

Our goal is to highlight life's most beautiful moments and make them unforgettable. Are you ready to use your expertise in data engineering to lay the foundation for data-driven marketing and actively develop our data landscape? Then we look forward to embarking on this journey with you.
We generally do not consider applications from external recruitment agencies.