Dietlikon
DATA ENGINEER – MICROSOFT FABRIC (a) 100 %
- 30 October 2026
- 100%
- Permanent position
- German (Fluent), English (Fluent)
About the job
We are a dynamic, traditional family business with a highly internationalised clientele and a motivated and diverse workforce. As a renowned fragrance house headquartered in Switzerland – with around 200 employees (over 290 globally) – we distinguish ourselves not only through our creativity but also through our commitment to consistently being among the leading companies in our industry in terms of quality and efficiency. In our unique company building, you will find the fusion of studio-like creative labs, a worldwide sales network, and state-of-the-art industrial production facilities.
As part of our growth strategy, we are filling the following position at our headquarters in Dietlikon (Zurich):
DATA ENGINEER – MICROSOFT FABRIC (a) 100 %
JOB DESCRIPTION
In this role, you will actively shape the development of our central data platform based on Microsoft Fabric and OneLake. You will develop reliable data pipelines, integrate various company data, and create the technical foundation for meaningful analyses and reports. You will work closely with our Business Analysts and internal departments and contribute significantly to the sustainable further development of our data architecture, data quality, and analytics solutions.
DATA ENGINEER – MICROSOFT FABRIC (a) 100 %
YOUR TASKS
- Building, operating, and continuously developing our central data platform with Microsoft Fabric and OneLake, considering a scalable and high-performance architecture.
- Developing and maintaining data pipelines to integrate various source systems, especially Abacus/c-tree, Microsoft SQL Server, and MySQL.
- Designing and implementing efficient ETL/ELT processes for extracting, transforming, and providing company data.
- Structuring and preparing our data according to the Medallion architecture (Bronze, Silver, and Gold) as a basis for Semantic Models and Power BI reports.
- Close collaboration with Business Analysts and internal stakeholders to translate business reporting requirements into suitable data models and structures.
- Ensuring high data quality as well as monitoring and continuously optimising data flows and Microsoft Fabric capacities.
- Technical support in creating and further developing Semantic Models and Power BI reports.
- Active participation in shaping our Data Governance and the technical standards for Data Engineering, Analytics, and Reporting.
WHAT WE EXPECT
- Completed education or further training in computer science, software development, data engineering, data analytics, or a comparable field (EFZ, HF, FH).
- Several years of practical experience in data engineering, data analytics, or business intelligence.
- Solid knowledge of Python, PySpark, and SQL as well as experience with relational database systems, especially Microsoft SQL Server and MySQL.
- Practical experience in developing and operating data pipelines and handling ETL/ELT processes.
- Knowledge of Microsoft Fabric and OneLake or the motivation to deepen your expertise in these technologies.
- Experience with Power BI and Semantic Models is an advantage.
- Strong analytical thinking skills as well as a structured, independent, and solution-oriented working style with a high level of quality awareness.
- Enjoyment in collaborating with different departments and the ability to explain complex technical contexts clearly.
- Very good German skills as well as good English skills in spoken and written form.
WHAT WE OFFER
- Comprehensive onboarding by our experienced IT team with deep and very diverse knowledge.
- An open, friendly corporate culture.
- Individual development opportunities.
- Hybrid working.
- Work in an international and multicultural environment with development centres in Switzerland, France, and Malaysia, as well as various sales offices worldwide.
- An inspiring working environment in one of the most modern buildings in the industry.
- Attractive fringe benefits.
We look forward to receiving your application including salary expectations via our job portal.