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

Turn moments into memories

You see data not just as technical artifacts, but as the foundation for informed decisions and sustainable growth. As a Senior Data Warehouse Engineer, you will be responsible for our central data platform and actively shape the further development of our data warehouse architecture.

With your technical expertise, your commitment to quality, and your holistic view of data processes, you ensure that our platform remains stable, performant, and future-proof – thus creating the basis for data-driven work throughout the entire company.

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 two 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 Senior Data Warehouse Engineer, you will assume central responsibility for the architecture, operation, and further development of our data platform. You will define standards, drive technical decisions, and ensure that our data infrastructure is stable, scalable, and operated efficiently.

• Data Warehouse & Platform Ownership: Responsibility for the architecture, stability and further development of the central data warehouse as well as all upstream and downstream data processes.

• Standards & Governance: Definition and establishment of binding platform standards (e.g. naming conventions, access control model, CI/CD pipelines, monitoring & alerting) and ensuring their implementation.

• Ingestion & Data Platform: Development and operation of a scalable ingestion framework with reusable components, incremental loading processes and a central orchestration layer (e.g. TimeXtender).

• Data quality & reliability: Building a platform-level data quality framework with automated tests, SLA monitoring, and clearly defined escalation processes.

• Performance & Enablement: Ensuring the performance and stability of the ETL processes and supporting the Domain Data Engineers as a technical sparring partner.

• Cloud & Cost Management: Analysis and continuous optimization of the Azure infrastructure with regard to efficiency and costs.

• Transformation & further development: Active participation in the modernization of the DWH platform, from architectural decisions to migration planning and implementation.

• Documentation & Knowledge Transfer: Structured documentation of architecture and solution approaches, creation of internal training materials, and central contact person for technical topics within IT.

What you bring

You combine in-depth technical expertise with a structured and solution-oriented approach. With your experience in data engineering, you take responsibility for complex platform issues, consider architecture holistically, and implement sustainable, scalable solutions.

• Experience & Know-how: Several years of experience in data engineering (at least 5 years), ideally complemented by responsibility in a senior or platform role.

• Cloud & Architecture: In-depth expertise in cloud data warehousing, especially in the Azure environment, including performance optimization, partitioning and cost management.

• Technology & Data Modeling: Solid knowledge of SQL and Python as well as experience in large-scale data modeling.

• ETL & Data Processes: Practical experience in setting up and operating ETL processes, from modeling and testing to integration into CI/CD pipelines.

• Tools & Orchestration: Confident handling of orchestration tools such as TimeXtender or similar solutions in a larger environment.

• Documentation & Communication: Clear and structured documentation of architectural decisions and the ability to communicate technical content in an understandable way to different stakeholders.

• Languages: Good German and English skills, 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 contribute your expertise in building and developing modern data platforms and actively shape our data landscape in Switzerland and Finland? Then we look forward to embarking on this journey with you.
We generally do not consider applications from external recruitment agencies.