Data Engineer
Tibber is hiring a Data Engineer in Stockholm, Sweden. Level rates it ; you can apply on Tibber.
Level's read on this job
- On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI agents.
- Level classifies it as a mid-level role.
- Level lists 7 other open roles at Tibber.
AI in this role
We're Tibber - the energy company that wants you to use less energy.
When you join Tibber, you'll be part of building the tech that creates a real shift in how people consume electricity - good for our users, their wallets and the planet. We believe AI is how we accelerate that shift, and it's our people who lead it. The more we lean into AI, the more human judgment, curiosity and creativity matter.
We’re looking for a Data Engineer to join us in making the energy transition happen – maybe that’s you?
Job Mission 🚀In the Data team at Tibber, you’ll be a vital part of Tibber’s mission to empower the clever, using data and technology to make it easier for our customers to make smarter energy choices.
We’re already well ahead with agentic analytics. Our AI agents have answered thousands of questions from colleagues, with grounded answers built on our certified data. We also deliver analytical insights straight to our customers.
As a Data Engineer, you’ll take this further. You’ll shape how Tibber’s analytical data is modelled, governed and delivered so that employees, internal agents and customers can all trust the answers they get.
Build agentic framework for data analysis that let colleagues ask questions in plain language and get correct, well-grounded answers.
Serve analytical data to employees internal agents and external customers through well-defined interfaces (semantic layers, APIs and MCP servers), with the right access controls in place.
Build and maintain scalable, robust, and efficient data pipelines in a modern cloud environment, ensuring our platform reliably supports growing data demands.
Design and develop data ingestion and processing frameworks that streamline the flow of information, delivering timely and accurate data to power insights.
Own and evolve the infrastructure behind our data platform, leveraging emerging technologies to bolster stability, performance, and cost-effectiveness.
Lean in and take ownership beyond what’s asked. Solve problems at the source and scope your work with stakeholders, rather than waiting for a perfect brief
Stay curious about the latest industry trends, offering ideas to refine architecture, scalability, and governance across diverse data use cases.
Iterate and refine workflows based on stakeholder feedback, team insights, and the evolving requirements of a dynamic energy market.
Data Pipeline Expertise. A track record of 3+ years building ingestion and transformation frameworks that can handle large, fast-growing datasets with ease.
APIs for Data Serving. Experience designing, building and running APIs that serve analytical data to applications, with attention to performance, reliability, versioning and authentication.
DevOps Know-How. Familiarity with Infrastructure as Code, CI/CD pipelines, and version control to ensure smooth, automated deployments and maintenance.
Agents & LLMs. Hands-on experience building LLM-powered applications or agents on top of data, including tool use, retrieval, evaluation and MCP. You have a sense for what makes an agent’s answer trustworthy.
Data Modelling. Strong foundations in dimensional modelling, metric definitions and semantic layers. You design data models that are easy for both humans and agents to use correctly.
Security & Compliance. Solid understanding of data privacy regulations, access control and best practices.
Passion for Data Products. You love data, engineering and building great things together with others team.
Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours, strengthening the resilience of the grid. Not in theory. In everyday life.
Being on a mission to change an industry means being prepared for the unexpected. We do what others say can't be done - and we do it together. We win, fail and grow together, staying curious and pushing for better - every day. AI is shaping how we work - and we believe it's how we accelerate the energy transition. The more it becomes part of how we operate, the more our Tibberinos matter.
Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Berlin, Amsterdam, Oslo and Førde. Backed by Balderton Capital, Eight Roads Ventures, Founders Fund, Summa and Schibsted. Still just getting started.
Diversity of thought fuels better products, so we welcome applicants of every background, identity and lived experience. Ready to be part of powering the energy transition? Apply below!
How we rate this
Data Engineer at Tibber rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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