Software Engineer - Junior to Senior

The Hub/Danske Bank; Denmark; On-site; DKK 700,000 - 900,000; Full time

Job summary

Skiftr in Denmark is expanding its engineering team and is hiring several software engineers across seniority levels. You’ll work on systems that map the Nordic job market, build tools to help people see where their careers could go, and contribute to AI-powered matching and data pipelines.

We value practical problem-solving, ownership, and willingness to learn. You’ll join a small, autonomous team in Gentofte, collaborating across frontend, backend, and data infra, and you’ll ship reliable

Qualifications

• Strong fundamentals and curiosity; willingness to learn quickly.
• Able to take feedback, own your work, and ship with responsibility.

Responsibilities

• The product people use to understand where their career could go next.
• Systems that continuously map and understand the Nordic job market.
• Matching people to roles they would never have thought to search for.
• Skills, salary and career-path intelligence.
• LLM-powered matching, scoring and generation.
• Data pipelines processing a constantly changing labour market.
• Internal tooling that lets a small engineering team move unusually fast.
• The infrastructure required to make all of this reliable as we scale.

Job description

About Skiftr

The job market is changing faster than people can navigate it. AI, automation and economic shifts are reshaping which skills matter, which roles exist, and where people can go next. But most people still navigate by job titles and guesswork.

We're building something to fix that.

Skiftr is career intelligence for the individual. We continuously map the Nordic labor market to understand what companies are hiring for, which skills are in demand, what roles pay, and how someone's existing experience can translate into opportunities they may never have considered.

Underneath the product is infrastructure we've built largely from scratch: systems that continuously collect and understand labor-market data, combined with AI that turns that data into useful recommendations for real people.

We're backed by EIFO and part of the Google for Startups Cloud Program. Our team includes people with backgrounds from McKinsey, BCG, Bain, Microsoft, Goldman Sachs, Novo Nordisk, BMW and Heidrick & Struggles.

The product is live. Demand is growing. We're expanding the engineering team because the problem is big, the opportunity is real, and there is a lot more we want to build.

We are currently 12 full time team members, across engineering, design and sales.

Who we're looking for

We're hiring several software engineers across seniority levels.

You might be early in your career and looking for a place where you'll learn unusually fast, with real responsibility, good feedback, and engineers who will challenge your thinking.

You might be experienced and want more ownership than you'd get in a larger company: larger parts of the system, technical decisions that matter, and the chance to help others become better.

Or you might be senior and want to shape architecture, product and engineering culture while still writing code every day.

We care less about your title or years of experience than how you think, how you build, and how much responsibility you want to take.

At Skiftr, everyone ships. If you build something, we expect you to understand it, improve it, and stay close to what happens after it reaches users.

What you'll work on

Depending on your strengths and interests, you might work on:

• The product people use to understand where their career could go next

• Systems that continuously map and understand the Nordic job market

• Matching people to roles they would never have thought to search for

• Skills, salary and career-path intelligence

• LLM-powered matching, scoring and generation

• Data pipelines processing a constantly changing labour market

• Internal tooling that lets a small engineering team move unusually fast

• The infrastructure required to make all of this reliable as we scale

This isn't a thin interface on top of an LLM API. A large part of the engineering challenge is taking an enormous, messy and constantly changing real-world dataset and turning it into something trustworthy enough for people to make important career decisions from.

If you want to solve real problems with real data, rather than only wiring APIs together, you'll find this interesting.

Our stack

• Frontend: Next.js

• Backend: Python / Django

• Cloud: Google Cloud Platform, European regions

• Payments: Stripe

• Data & AI: continuously updated labour-market pipelines, LLM-powered matching, scoring and generation

You don't need to be an expert in every part. If you're very good in one area and capable of becoming good in the others, we'd still like to hear from you.

How we build

We're a small team, which means engineers have a lot of autonomy.

Problems don't always arrive as perfectly specified tickets. We expect engineers to understand what they're building and why, work out a sensible path forward, ship it, see what happens, and take responsibility for the outcome.

We care about engineering quality, but we're pragmatic. Sometimes the right decision is to build something quickly and learn. Sometimes it's to stop and solve the underlying technical problem properly. Good engineering here means being able to tell the difference and being thoughtful about the trade-offs.

We're highly AI-native. We use AI heavily in development and invest in the best tools we can find. We think excellent engineers using excellent AI tools can build dramatically more than was possible a few years ago.

At the same time, using AI doesn't remove responsibility for the code. If you ship it, you should understand it and be comfortable standing behind it.

We're anti-slop. Speed matters, but so do code quality, maintainability and understanding.

If you're early in your career

We don't expect a ten-year CV. We expect curiosity, strong fundamentals, and evidence that you like building things.

You should want feedback, ask questions when you don't know something, and be comfortable being given real responsibility earlier than you might be elsewhere. You'll work alongside experienced engineers and be expected to learn quickly.

When you raise a PR, expect to walk more experienced engineers through the code, the decisions you made, the alternatives you considered and the problems you ran into.

We use AI heavily, but we want it to make you a better engineer, not replace your understanding of what you've built.

If you're experienced

You'll take ownership of larger parts of the product and system, make technical decisions, identify problems before someone assigns them, and help other engineers become better.

You should be comfortable moving between product thinking, architecture and implementation.

Your title doesn't matter much to us. Your contribution does.

About you

You'll probably enjoy working here if:

• You care about the user, not just the code

• You take ownership when something you built doesn't work as intended

• You want to understand systems, not just generate code

• You use AI aggressively but don't outsource your thinking to it

• You can make decisions without perfect information

• You care about quality without using perfection as a reason not to ship

• You like working with people who will challenge your thinking

• You're happy to change your mind when someone has a better argument

• You want meaningful responsibility

• You're happy to work with people who will challenge your thinking

You don't need to speak Danish.

You do need to be able to work physically with us in Gentofte, Denmark. We're a global team, but we believe engineering at this stage of Skiftr is best done with significant time together in the same room.

What we offer

• Real ownership from the beginning, at a level that matches your experience

• Equity and the opportunity to participate in what we build

• A strong engineering team with people to learn from and challenge you

• Serious investment in AI tooling

• Very little bureaucracy. Powerpoint is not allowed, neither is doors to meeting rooms.

• Direct influence over product and technical decisions

• Backing from EIFO and participation in the Google for Startups Cloud Program

• An early-stage company where individual engineers can still materially change the outcome

• Breakfast and lunch from Madro, plus dinner when the team is around late

• Free coffee, soft drinks and the other office essentials

Most importantly: a hard technical problem attached to something that matters.

AI will change an enormous number of careers over the coming decade. We want to build the infrastructure that helps people understand where to go next.