Analytics Engineer

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.

What to expect

• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
• Python Familiarity: You are comfortable with Python development for data-related tasks.
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
• Version Control: You have prior experience using Git to manage your code and collaborate with others.
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.

• Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
• Prior experience working with FinOps principles or FOCUS data models.
• Broader experience with various cloud infrastructure and service offerings.

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
3. 60 Minutes with Team (ICs)
4. 45 Minutes with Executive (CFO)

All roles require background checks.

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.