2 months ago
Senior Cloud Data Engineer
- 06 March 2026
- 100%
- Bern
Job summary
Join our Data, Analytics & AI team driving customer value! Exciting projects await in a collaborative work environment.
Tasks
- Implement high-quality data pipelines and cloud data infrastructures.
- Design and manage components for data ingestion and transformation.
- Collaborate with business analysts and data scientists on use cases.
Skills
- Master's degree with extensive programming experience in Python or Java.
- Proficient in SQL, DBT, Spark, and cloud solutions like Azure.
- Strong understanding of data modeling and governance practices.
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About the job
Our business line «Data, Analytics & AI» is responsible for providing and utilizing technology platforms that promote the value creation of our customers. The numerous exclusive projects differ in scope, industries, and companies.
We are looking for a motivated person for the role of Senior Cloud Data Engineer. You have a flair for data and AI with experience in implementing complex distributed data platforms and applications to process heterogeneous and large volumes of data. Ideally, a person with experience in analytics technologies such as SQL, DBT Spark, Python, and various databases, as well as being well acquainted with cloud infrastructure (Databricks, Azure, Fabrics, AWS).
As a Senior Cloud Data Engineer, you work in multiple teams including data engineers, architects, and scientists to build and operate state-of-the-art data analytics platforms. The role requires technical skills in analytics ecosystems with a focus on cloud infrastructure and open-source software.
- You participate in one or more cloud data platform projects and independently implement high-quality data pipelines and cloud data infrastructures. You coordinate requirements with the customer and act as a coach for less experienced team members.
- You are co-responsible for the design, code, and configuration of components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation across multiple data sources and applications.
- You ensure that your solutions meet customer requirements regarding functionality, performance, availability, scalability, security, and reliability.
- You assist in creating proposals for customer projects.
- You share your experience within the team and help leverage synergies between projects.
- You collaborate with business analysts and data scientists to understand and realize their use cases.
Our offer
- Opportunity to expand your expertise through diverse projects and unique products, latest technologies, and customers from various industries
- Attractive prospects through continuous training, coaching, and an internal career path
- Our culture makes the difference! We actively live flat hierarchies and open, helpful collaboration across all disciplines and departments
- We organize regular events such as brown bag lunches and coding events as well as cozy and sporty offsite gatherings
- Good work-life balance (flexitime, home office), modern and flexible workplace in a multicultural environment
- Top benefits such as: purchase of up to 13 vacation days, contribution to private mobile phone or business phone, half-fare travelcard, business travel in 1st class, flexible pension fund models, coverage of daily sickness and accident insurance (private, worldwide), and much more
Your profile
- University degree ETH/UNI/FH with several years of programming experience in Python, Java, or Scala
- At least 5 years of implementation skills with analytics technologies such as SQL, DBT, Spark, Kafka, and programming experience in Python.
- Experience with Scala and classic ETL tools like Talend or SSIS is a plus.
- At least 3 years of experience in delivering and automating cloud solutions in Azure, AWS, GCP, Kubernetes with Terraform or comparable tools
- Know-how in SQL and NoSQL databases, e.g., PostgreSQL, Snowflake, Databricks, or MS SQL Server
- Experience in data modeling and data governance
- Experience with the entire software development lifecycle: coding standards, code reviews, source code management, continuous integration/deployment, testing, and operations
- Data warehouse as well as data mesh knowledge complete the profile
- Fluent in German and English
We rely on healthy values and are convinced that diversity is the key to success. Those who approach challenges with curiosity, motivation, and drive are exactly right with us! Let yourself be inspired by our motto: We make it work!