Data Engineer

Tenth Revolution Group; Stockholms kommun; Hybrid; SEK 900,000 - 1,250,000; Full time

Benefits offered by this job

Hybrid work in Stockholm

Job summary

Tenth Revolution Group is seeking a curious Data Engineer to push beyond traditional ETL pipelines and build end-to-end data solutions in a cloud-native environment. You’ll contribute to intelligent services and AI-enabled products while collaborating with cross-functional teams.

Join a small, collaborative engineering group in Stockholm, shaping the next generation of data-driven products and internal tooling with a strong emphasis on ownership and production-ready delivery.

Qualifications

• Strong experience in modern Data Engineering and data platforms.
• Ability to design scalable data models and data workflows.
• Experience building intelligent services and AI-enabled solutions is a plus.

Responsibilities

• Design scalable data models using SQL and dbt.
• Build Python services and automation tools.
• Develop REST APIs that expose trusted data.
• Create integrations where off-the-shelf tools aren’t enough.
• Improve data quality, testing, and platform reliability.
• Build cloud infrastructure using Infrastructure as Code.

Skills

SQL

Python

dbt

BigQuery

Docker

Terraform

Airbyte

REST APIs

Backend services

Automation

Infrastructure as Code

Tools

dbt

BigQuery

Docker

Terraform

Airbyte

Job description

Build products with data, not just pipelines.

Most Data Engineering roles focus on moving data from A to B.

This one is about deciding what to build with it.

We're partnering with one of the Nordics' most exciting technology businesses as they continue investing heavily in their data platform, AI capabilities and engineering function. They're looking for a curious Data Engineer who enjoys solving problems with technology and wants to build complete solutions rather than spend every day maintaining ETL pipelines.

If you enjoy working across data engineering, software engineering and automation, this could be exactly the kind of challenge you're looking for.

The Opportunity:

The business has already built the foundations of a modern cloud-native data platform. Now they're entering the exciting phase.

Rather than focusing on collecting data, the team is building intelligent services, internal products and AI-enabled solutions that help the business make smarter decisions every day.

You'll work in a small, collaborative engineering team where ideas move quickly, ownership is encouraged and engineers are trusted to take solutions from concept through to production.

What you'll be doing:

Your work will span far more than traditional data engineering, including:

• Designing scalable data models using SQL and dbt
• Building Python services and automation tools
• Developing REST APIs that expose trusted data
• Creating integrations where off-the-shelf tools aren't enough
• Improving data quality, testing and platform reliability
• Building cloud infrastructure using Infrastructure as Code
• Working closely with stakeholders to translate business problems into technical solutions
• Helping shape the next generation of AI-powered products and internal tooling

The philosophy is simple:

Use technology to solve business problems.

Sometimes that's a data model.

Sometimes it's an API.

Sometimes it's a lightweight application.

Whatever delivers the greatest value.

What they're looking for:

You'll have strong experience in modern Data Engineering, including:

• SQL
• Python
• dbt
• Modern data architecture and engineering best practices

You'll also ideally have experience building some combination of:

• REST APIs
• Backend services
• Internal tooling
• Automation solutions
• Infrastructure as Code (Terraform or similar)
• Data integrations

Experience with Google Cloud is helpful but not essential. Engineers from Azure or AWS environments are equally encouraged to apply.

More important than the exact tech stack is your mindset. They're looking for someone who enjoys learning, solving problems and building whatever is needed to create value.

• Python
• SQL
• dbt
• BigQuery
• Docker
• Terraform
• Airbyte

You don't need experience with every technology. Strong engineering principles and a willingness to learn are far more important.

Why Join?

This is an opportunity to join a business at exactly the right stage.

The platform has been built.

Now the focus is on creating products that power self-service analytics, intelligent automation and AI across the organisation.

You'll work in a highly visible engineering team where your work has a genuine impact, collaborate directly with business stakeholders and have the autonomy to shape solutions rather than simply deliver tickets.

If you're the kind of engineer who enjoys ownership, variety and building things that matter, you'll thrive here.

Salary & Benefits

• Hybrid working (Tuesday–Thursday in the Stockholm office)

Interview Process

• Technical discussion and problem-solving case study (no live coding)