Senior Analytics Engineer

About Upsun (formerly Platform.sh)

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.

Impact of a Senior Analytics Engineer

As a Senior Analytics Engineer, you will join our Data Science and Engineering team at Upsun to help our company make smarter choices. You will do this by helping us better understand our customers and internal operations. You will work with large amounts of platform and business data to create clear insights that improve our product and decisions. In this role, you will use SQL , Python , DBT , Hex , Metabase , and GCP data tools. You will work on important projects like building new data models with Salesforce and financial data, or working with AI tools and cloud cost modeling (FinOps).

What to expect

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Data modeling and architecture: You will design and build models that turn raw data into useful metrics and data products, using DBT and medallion architecture.

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Metric design & ownership: You will define what success looks like for our products, setting up and tracking key business metrics .

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Cross-functional collaboration: You will work with technical and non-technical teams to collect requirements, share methods, and teach best practices for using data .

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Technical leadership: You will lead data modeling projects, choosing the right tools and planning how to complete the work .

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Scalable solutions: You will work efficiently with data of all sizes, including petabyte-scale datasets, to help everyone make data-based decisions .

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Strategic advisory: You will guide partner teams by creating and explaining analytical metrics, helping them understand how data impacts different parts of the product and business .

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Operational efficiency: You will improve our team's processes and code by creating well-documented solutions that can be used again in the future .

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Evolving modern stack: You will use modern tools (GCP BigQuery, AWS S3, Fivetran, Hightouch, and AI tools like Claude Code) and help us improve our data architecture as it grows .

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Global remote culture: You will work with a worldwide, remote team that values learning, open source software, and new ideas .

What you bring

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Core skills: Strong experience with SQL and DBT in real production settings, along with good habits in Python , Git , and CI/CD .

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Data architecture: Solid experience building data models for large datasets (up to petabytes) in cloud platforms like GCP or AWS .

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Curiosity and problem solving: A passion for testing new tools, learning new technologies, and finding simple ways to solve complex problems.

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Execution & tradeoffs: The ability to choose the best solution among different technical options, communicate clearly, and work well asynchronously.

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Clear communication: Experience creating solutions and explaining them clearly to different types of audiences.

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Remote collaboration: Comfort working in a remote team, managing your time well, and working across multiple teams.

Bonus

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Prior experience working with FinOps principles or FOCUS data models.

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Experience or interest in building AI data agents and modern AI-assisted data workflows.

Where we hire

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.

How we hire

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.

• 45 Minutes with Talent Acquisition

• 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)

• 60 Minutes with Team (ICs)

• 45 Minutes with Executive (CFO)…

Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/remotewoman/remote-senior-analytics-engineer-455638)