Senior Data Engineer

Ready to build UpCloud’s BI from the ground up?

Are you a builder at heart, someone who thrives in scaling up data capabilities and taking the lead in shaping BI infrastructure from scratch? If you’ve got the experience of developing BI solutions in a growing, international environment and are itching to take ownership of an entire BI platform as a joint team effort, this might be the perfect next step for you!

UpCloud is at an exciting stage in our journey, and we’re on the lookout for a Senior Data Engineer who can help us build something that will become the backbone of our business as well as a trusted cloud service provider for our clients.

This is a hands-on role where you’ll be helping our internal clients get the most out of their data. You’ll also work closely with our internal teams across the organisation, to deliver valuable data to our business decision processes. Not only will you be working with cutting-edge tech, but you'll also be everyone's new favourite UpCloudian, our “data whisperer”, offering them something that will level up their own work.

You'll have the unique opportunity to influence from day one, and we’re looking for someone with the vision and drive to build our BI capability.

Why join us?
If you’re someone who gets excited about building something new, this is your chance to shine. You’ll be the person helping us figure out how to structure, build, and manage our BI systems—while also laying the foundation for future growth. Plus, you’ll have a direct impact on everyone from sales to product managers, finance, and operations, just to name a few.

We’re still a small enough company of 130 people and a close-knit team, but as we’re scaling up, you have the opportunity to grow into new roles while having a huge impact on our business. As is oft the case for scaleups, the opportunities for innovation are endless.

We’re headquartered in Helsinki, but we fully embrace remote work—whether you’re based nearby or somewhere within the EU, you’ll be part of the team. Sounds good?

What you’ll be doing:

• Influencing the designing and implementation of our BI architecture: You’ll participate in shaping the ways we collect, organise, and make data accessible across the company.

• Building a scalable data warehouse from open source building blocks: This includes defining the tech stack, selecting the right tools, and ensuring data is easy to access and use.

• Classify and organise data for better usage, and help shape the strategic direction of our data platform, like participating in the design of data models.

• Collaborating with teams: You’ll work closely with internal stakeholders in all areas of the business to understand their needs and deliver solutions that create impact.

To succeed in this role, you’ll need:

• Strong GCP and BigQuery expertise (a must-have for this role).

• Advanced SQL experience (data modelling, performance tuning and security).

• Strong Data Engineering experience (ETL/ELT, data warehouse and data lake management).

• Strong skills in Python (we use both Python and Golang, but you won’t need to master the latter).

• A proactive, hands-on approach: You thrive in a fast-paced environment and are ready to roll up your sleeves, get things done, and solve complex problems.

• Good communication skills: You’ll be engaging with teams across the business, so you’ll need to be comfortable talking to both technical and non-technical people.

• A desire to grow and take ownership.

Nice-to-haves:

• Experience with message queues.

• Experience with Google Looker Studio.

• Experience driving or leading data platform projects.

• A background in international environments and working with global teams.

We promise to get back to all candidates—because that's just how we roll.

Our Benefits

• Up to six weeks of annual paid vacation

• Flexible and remote-friendly culture

• Occupational healthcare

• Share Appreciation Rights program

• Udemy E-learning platform and budget for trainings; unlimited business access

• Travel insurance

• Sports benefit

• Company events and activities

• Annual company trip

#LI-DNI

Recruitment process

• CV & application review

• Screening Call

• Interview with the Hiring Manager

• Task Assignment & Review with the Engineering team

• Interview with the Product Leadership

• Offer