Location: Adliswil & Zurich, Switzerland (3 days onsite per week, 2 days remote)
Start Date: Up to 1 month notice
Duration: 12 months (extension possible)
Maximum Rate: CHF 750 – CHF 855 per day - LABOUR LEASED MODEL
About the Role
- Major transformation project requires support from experienced data engineer.
- It is in relation to their initiatives to replace the legacy system, but the role has nothing to do with the legacy system. The role is there to break the peak, but it is a long-term role, and an extension is very probable.
You are a result-driven experienced software engineer, passionate about your craft and eager to grow further, comfortable meeting (sometimes tight) deadlines and confidently taking ownership of features. You have an accomplished record in delivering sustainable solutions and you desire to develop your skills and knowledge about the platforms which you will be working on, both the technical aspects and how they are used by our business partners. You are comfortable working in multi-dimensional agile teams with direct involvement from business subject matter experts and care about security, quality, user experience, documentation, testing, team spirit and the overall big picture. Finally, you want to put clean code principles into practice on large code bases.
Key Responsibilities
- Implementation of production ready data pipelines using PySpark running on Databricks based on specification provided by business analysts. Interaction with other data engineers and solution architects to meet functional and non-functional requirements.
- Current challenges
- Nonfunctional requirements (dealing with billions of records and hundreds of attributes)
- Having high delivery velocity and still building maintainable code and keeping technical debt under control
- Pyspark (Python is not enough, Spark is a must)
- Delta Lake and Databricks
- Azure fundamentals
- Target candidates should have 7–8 years’ experience, with a strong preference for those who have significant hands-on experience with Spark (minimum 5 years).
- Data engineering or software engineering background is essential — the client is not interested in data scientists or ML-heavy profiles.
- Spark expertise is critical — candidates must be able to work independently without training; Python or Scala skills are secondary.
- The client seeks someone who truly understands data, has learned from past mistakes, and can confidently manage real-world data challenges.
- English: Good spoken and written skills
The team has 10-12 members, mostly based in Switzerland and Italy. We value in person interactions, hence the position being opened in Switzerland.
