Senior Analytics Engineer 80-100%
At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every perspective makes us stronger. Our passion spurs us on to try new things and grow continuously. Sound like you? Then join our success story.
As an Analytics Engineer, you will work at the intersection of business consulting, data modelling, and software engineering. You will use modern technologies to turn complex data into trusted business-ready data products that analysts, stakeholders, and AI agents can rely on. Our modern workflows empower you to take end-to-end ownership of complex data modeling projects: from understanding the business problem to deploying and monitoring your data products; all while working with a passionate and supportive team.
YOUR CHALLENGE:
- Build reliable, documented, tested, and reusable data products that solve real business problems using dbt and SQL, individually and in teams
- Work closely with stakeholders to understand business context, definitions, constraints and decisions to be supported
- Design modular dbt pipelines that turn source data into business-conformed datamarts
- Apply software development practices, including Git-based workflows, pull requests, CI/CD, code reviews and controlled deployments
- Implement meaningful data quality tests that catch high-impact issues and create actionable signals
- Support colleagues through reviews, design discussions, and sharing of good analytics engineering practices
YOUR SKILLS:
- A university degree in Business, Economics, Business Information Management, Data Science, or a related field
- 3-5 years of hands-on Analytics Engineering experience using dbt Cloud, including development, testing, deployment, documentation, and maintenance of analytics data products
- Deep expertise in dbt Cloud and SQL, with proven experience building modular, business-facing data marts and reusable data models
- Strong understanding of the Analytics Development Lifecycle (ADLC), including documentation, testing, code reviews, deployment, monitoring, and data quality management
- Experience working with modern Analytics Engineering best practices, including Git, pull requests, CI/CD, and collaborative development workflows
- Experience working with Google Cloud Platform (GCP) and BigQuery
- Ability to work closely with business stakeholders to define business objectives, metrics, business rules, and communicate complex data topics in clear business terms. Fluency in English is required; German is an advantage
At Sunrise, you’ll be working in a dynamic and multinational environment where every voice is heard, perspectives are shared and values are lived. Diversity isn’t just a program for us, it’s part of our DNA. By celebrating our differences, we achieve great things together.
Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value.
Ready to rise to the challenge? Then join the team and actively shape our future!
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