Senior Data Engineer | Zurich | Hybrid
We’re currently looking for an experienced Senior Data Engineer to join a high‑performing consulting and engineering team delivering data‑driven solutions for clients across Switzerland. If you enjoy designing robust data architectures, working with large‑scale datasets, and enabling advanced analytics and machine learning, this is a great opportunity to work on impactful and technically challenging projects.
What you’ll be doing
Design and implement scalable data pipelines and architectures (cloud and on‑premise)
Integrate, transform, and manage data from diverse sources in a reliable and reproducible way
Build, test, and monitor distributed data processing systems
Collaborate with data scientists to enable machine learning use cases
Optimise performance and cost of data platforms and pipelines
Develop dashboards and visualisations to communicate insights effectively
Work closely with clients and stakeholders to translate business needs into technical solutions
Contribute to best practices in data engineering and support knowledge sharing within the team
Tech stack
Python
SQL
Apache Spark
Hadoop
Hive
Airflow
RDBMS
NoSQL databases
Distributed systems
AWS
Azure
Google Cloud Platform
kubernetes
DevOps practices
Java / .NET (nice to have)
What we’re looking for
5+ years experience in Data Engineering or similar technical roles
Strong experience with Python, SQL, and data pipeline development
Solid understanding of distributed systems and scalable data architectures
Experience working with Big Data technologies and cloud platforms
Strong problem‑solving skills and a structured, solution‑oriented mindset
Degree in Computer Science, Mathematics, or a related field
Nice to have
Experience with machine learning workflows and data science collaboration
Exposure to DevOps practices and containerisation (e.g. Kubernetes)
Consulting or client‑facing experience
Languages
German and English – both required (B2–C1+ level)
What’s on offer
Hybrid working with flexible hours and home office options
Competitive salary plus performance‑based profit share
Opportunity to work on diverse, high‑impact data projects across industries
International and collaborative engineering culture
Strong focus on continuous learning and professional development
Inclusive environment with regular team events and knowledge sharing
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