IT, Tech & AI

IT, Tech & AI

Join our digital world

Satisfy your curiosity with all the latest technology and make things happen! We do our utmost to ensure that our customers and colleagues enjoy a smooth digital journey by continually optimizing our digital services.

We're always looking for people with curiosity, new ideas, advanced technical skills and in-depth knowledge to help us innovate, transform and grow. When working at LMK Group, you’ll experience a company culture that encourages cutting-edge ideas, and you’ll have a meaningful impact on our customer journey, and you’ll have a meaningful impact on our customer journey by helping us combine the best of technology and human ingenuity.

A job within our tech department allows you to reach thousands of users and positively impact their interactions with us. We focus on providing great service, sharing skills and having fun! Some examples of what you can work with in this career area are:

 

Data Science & Analytics

IT Operations

Frontend Developer

Solution Architect

Technical Architect

Job openings

Below you can find all our current job openings. If you find one that suits you, let us know by applying today!

Job title
Location
Apply by
Job title: Data Engineer
On-site
Location: Oslo
Apply by: 2026-09-30

We've just rebuilt our data platform from the ground up. It's fast, it's scalable, and it's what the next generation of personalisation and experimentation across our product will run on. We're looking for a Data Engineer to build on it and help shape where it goes next.

Every week, what you build reaches tens of thousands of households across Norway, Sweden and Denmark, with Finland joining this autumn. Dinner turns up at their doorstep, people cook, and a good chunk of that depends on data being right.

The role

You'll join the 6-person Data Platform Team, which builds and owns our central data model, tooling and infrastructure. You'll also work closely with the wider 10-person data discipline. Between us we serve the rest of the company with the data it needs to make better decisions, and we power the internal and customer-facing products that run on top of it.

You will:

  • Model clean, trustworthy dimensional data for analysts, data scientists and stakeholders across the business.
  • Build production-grade pipelines in Python that feed the models, dashboards and decisions the rest of the business relies on.
  • Build and maintain the shared tools and frameworks that make everyone else in the discipline faster.
  • Raise the bar through code reviews and knowledge shares, and let other people raise yours.

Our stack

  • Databricks for storage, ingestion, orchestration and workflows
  • dbt for transformation and modelling
  • Terraform for infrastructure as code
  • GitHub for version control and CI/CD
  • Azure for our cloud environment
  • Power BI for reporting and self-serve analytics
  • Mixpanel for product analytics
  • Claude for AI-assisted development across the team

You don't need to have used all of these. We'll help you get up to speed.

How we work

We run 7-week "Cook" periods where the team works towards a small number of meaningful objectives, followed by 2-week "Prep" periods for retros, demos, planning and learning. It keeps focus high during Cook and means the thinking time is protected rather than squeezed in around the edges.

AI is embedded across the product and tech department and we back that up with a generous token budget.

The organisation is flat, the data community is supportive, and there's a high level of trust and flexibility in how you run your day.

What we're looking for

You might have worked as a data engineer, analytics engineer, or data analyst. The title matters less to us than the skillset and the mindset.

  • Around 2 to 5 years working with data transformations and modelling.
  • Comfortable with Python and SQL, and you enjoy structuring data models that make sense to other people.
  • Collaborative by default. You share work early rather than building in isolation, you work well with people outside engineering, and you can give and take feedback.
  • Curious about AI-assisted development. If you've already worked with Claude Code, Codex or Cursor, great.
  • A product mindset. You care about the outcome for the user and the business, not only the pipeline.
  • Clear communicator in English.

Nice to have experience:

  • dbt, Databricks, Terraform or GitHub Actions.
  • Azure.
  • Power BI, or supporting self-serve analytics in other tools.

If you don't tick every box but the role appeals, apply anyway. We'd rather read your application than guess.

Who is Cheffelo?

Cheffelo is a profitable Scandinavian meal kit company. Since 2006 we've been making it easier for people to eat varied, home-cooked meals without the planning and shopping, and with a lot less food waste than the weekly supermarket shop tends to produce.

We have around 400 employees, run our own production facilities, and build our customer-facing app and internal tools ourselves. We operate under the brands Linas in Sweden, Godtlevert in Norway, and RetNemt in Denmark. In 2025 we turned over SEK 1.2 billion and delivered roughly 17 million meals. We're listed on Nasdaq First North Premier Growth Market under CHEF.

Apply

Submit your application via the link in this ad, we can't accept applications by email. We review candidates on a rolling basis, so it's worth applying early rather than waiting for the deadline.

Questions about the role before you apply? Contact Stephen Allwright, Head of Data & Analytics, at [email protected].

We welcome applicants from all backgrounds, regardless of age, gender, religion, nationality or ethnicity.

Job title: Data Analyst
On-site
Location: Oslo
Apply by: 2026-09-30

We've just rebuilt our data platform from the ground up, and it's what the next generation of personalisation and experimentation across our product will run on. We're looking for a Data Analyst to put it to work: understanding how our customers actually behave, and sharpening every experiment we run.

Every week, the decisions you shape reach tens of thousands of households across Norway, Sweden and Denmark, with Finland joining this autumn. Dinner turns up at their doorstep, people cook, and a good chunk of that depends on data being right.

The role

You'll be embedded in the Customer Experience product team, which owns the logged-in customer experience, working day to day with the product manager, designers and engineers there. You'll also be part of the wider 10-person data discipline, which is where the craft, the shared standards and the support come from.

You will:

  • Design and analyse experiments across the logged-in customer experience.
  • Dig into customer behaviour in Mixpanel and our dbt-modelled warehouse, and explain the why behind the numbers rather than only the what.
  • Work closely with the Customer Experience team to turn your findings into decisions instead of slides.
  • Build and maintain dashboards and self-serve models so the team can answer its own questions between check-ins.
  • Raise the bar in the data discipline through code reviews and knowledge shares, and let other people raise yours.

Our stack

  • Mixpanel for product analytics and experiment results
  • dbt for data modelling and trusted metrics
  • Databricks as the underlying data platform
  • Power BI for reporting and self-serve dashboards
  • GitHub for version control of your models and queries
  • Claude for AI-assisted analysis and development across the team

You don't need to have used all of these. We'll help you get up to speed.

How we work

We run 7-week "Cook" periods where the team works towards a small number of meaningful objectives, followed by 2-week "Prep" periods for retros, demos, planning and learning. It keeps focus high during Cook and means the thinking time is protected rather than squeezed in around the edges.

AI is embedded across the product and tech department and we back that up with a generous token budget.

The organisation is flat, the data community is supportive, and there's a high level of trust and flexibility in how you run your day.

What we're looking for

You might have worked as a data analyst, product analyst or analytics engineer. The title matters less to us than the skillset and the mindset.

  • Around 2 to 5 years working with data analysis, experimentation or product analytics.
  • Comfortable with SQL, and confident forming a clear view from messy data.
  • Experience designing or analysing A/B tests and turning the results into a recommendation someone can act on.
  • Collaborative by default. You share work early rather than building in isolation, you work well with people outside the data team, and you can give and take feedback.
  • Curious about AI-assisted analysis. If you've already worked with Claude, Codex or Cursor, great.
  • A product mindset. You're curious about customer behaviour and the why, not only the dashboard.
  • Clear communicator in English.

Nice to have experience:

  • dbt, Databricks or Mixpanel specifically.
  • Power BI, or building self-serve analytics in other tools.
  • Working embedded in a cross-functional product team.

If you don't tick every box but the role appeals, apply anyway. We'd rather read your application than guess.

Who is Cheffelo?

Cheffelo is a profitable Scandinavian meal kit company. Since 2006 we've been making it easier for people to eat varied, home-cooked meals without the planning and shopping, and with a lot less food waste than the weekly supermarket shop tends to produce.

We have around 400 employees, run our own production facilities, and build our customer-facing app and internal tools ourselves. We operate under the brands Linas in Sweden, Godtlevert in Norway, and RetNemt in Denmark. In 2025 we turned over SEK 1.2 billion and delivered roughly 17 million meals. We're listed on Nasdaq First North Premier Growth Market under CHEF.

Apply

Submit your application via the link in this ad, we can't accept applications by email. We review candidates on a rolling basis, so it's worth applying early rather than waiting for the deadline.

Questions about the role before you apply? Contact Stephen Allwright, Head of Data & Analytics, at [email protected].

We welcome applicants from all backgrounds, regardless of age, gender, religion, nationality or ethnicity.

WHY WE LOVE WORKING AT cheffelo

A culture to cherish

Our people are brave, curious and keen to make a difference for our customers, colleagues, and the environment! The warm and welcoming atmosphere creates the right setting for people to flourish and work their magic. We take pride in what we do and constantly challenge the status quo. We know that we are better together, and we have a strong team spirit that fosters a culture of collaboration. And when there's something to celebrate, we make sure to have some fun!

A culture to cherish

Job security

At Cheffelo, we are committed to creating the best working environment for our employees. We offer good job security and competitive salaries. We're there for you.

Job security

Place to grow

With 5 locations in the Nordics, there are endless opportunities for career progression! Would you like to work full-time, part-time, a few hours here and there, or perhaps only a season? We have a place for you, no matter where you're at. We encourage creativity and curiosity, and we make every effort to foster a learning culture for professional development. An academic degree or a long CV isn't always the most important thing for us. If you have the right mindset, we can certainly promise you a bright future!

Place to grow

Your own Meal box

We encourage you to get to know our product and explore how easy it is to prepare a tasty dinner for you and your family! So, we always offer you an employee discount on all our meal boxes. This discount applies to all our colleagues, regardless of how many hours you work.

Your own Meal box

Open minds, open heart

Our heart beats for the world and for the people around us. To meet global challenges, we work purposefully with sustainability. We have divided our sustainability work into five areas: Food Waste, Food Products, Resource Consumption, Health and Social Responsibility. All areas are linked to the UN's Global Sustainability Goals. We promote equal rights above all, and regardless of your ethnicity, gender, religious beliefs, disability or age, our doors are always open to you.

Open minds, open heart