Sr. Data Engineer | Data
TV4
Every week, around eight million people use TV4 Play and MTV Katsomo. Behind product decisions, content recommendations, subscriptions, advertising and viewer experiences is data.
We’re looking for a Sr. Data Engineer to help evolve our data platform and raise the bar for how we build, operate and improve data solutions across the organisation.
This role goes beyond building pipelines and data models. We’re looking for an experienced engineer who takes a broader view of the systems around them: architecture, quality, observability, developer experience and how things actually behave in production.
Before you apply
This is an office-first role based in Stockholm, and we work from the office four days a week.
To be considered, you need to already have the right to work and reside in Sweden and be able to work office-first from Stockholm. We are not able to offer relocation or visa sponsorship for this role.
Why this role matters
Data is fundamental to how TV4 and MTV develop products, understand viewer behaviour and make business decisions.
Our Data team builds the platform and capabilities used by analysts, data scientists, product teams and the wider business. We’re now modernising that platform while making data easier to access, trust and use across the organisation.
As a Senior Data Engineer, you’ll help shape that journey technically. You’ll build new capabilities, improve existing systems and help establish engineering practices that allow the team to move faster without compromising quality or reliability.
You might enjoy this role if
You enjoy problems where the solution isn’t obvious from the start.
You like building systems that other teams depend on and can trust.
You care as much about how something behaves in production as getting it shipped.
You naturally look beyond your immediate task and improve the systems around it.
You enjoy discussing architecture and technical trade-offs and can help create direction without needing all the answers upfront.
You share knowledge, challenge existing approaches constructively and help other engineers grow.
AI has already changed how you develop software, and you’re interested in pushing that further.
What you’ll do
Design, build and evolve data pipelines, data models and components of our data platform.
Take technical ownership from problem definition and design through production, operations and continuous improvement.
Influence architecture and technical decisions as we modernise the platform.
Build for data quality, testability, observability, security and reliability from the start.
Identify technical debt, bottlenecks and structural problems and drive improvements even when there isn’t a predefined task waiting for you.
Work closely with analysts, data scientists, product teams and the business to understand which problems are actually worth solving.
Improve developer experience through automation, standardisation and shared engineering practices.
Help raise the technical level of the team through knowledge sharing, technical discussions and feedback.
Explore how AI and agentic development can improve how we build and operate data systems.
About you
You’re an experienced engineer whose main domain is data, but you think beyond individual pipelines or tools.
You’re comfortable taking an ambiguous technical problem, breaking it down and driving it towards a solution. You understand that production engineering includes testing, deployment, observability, failure modes and maintainability, not just implementation.
You don’t need to be the person with all the answers, but you should be comfortable forming an opinion, explaining your reasoning and changing direction when better information appears.
We expect you to have strong experience with:
SQL and Python
Data modelling
Data pipelines and ETL/ELT
Modern cloud-based data platforms
Production-quality software engineering
Testing, data quality and observability
Cloud environments, preferably AWS
CI/CD and modern development practices
Experience with some of the following is useful, but the stack is not a checklist :
Snowflake
Airflow
dbt
Terraform
GitHub Actions
We’re also interested in engineers coming from adjacent backend or platform backgrounds who have moved deeply into data engineering. Strong engineering fundamentals matter more to us than matching every tool we use.
Our current tech landscape
AWS
Snowflake
Airflow
dbt
Python
SQL
Terraform
GitHub Actions
Monitoring and observability tooling
The platform is evolving, so we’re more interested in your ability to reason about systems and learn than in exact tool matching.
The team
You’ll join a Nordic Data team working across Stockholm and Helsinki.
The team owns the data platform and capabilities supporting analytics, reporting, product development and business insight across TV4 and MTV.
We work closely with the rest of the product organisation and with analysts, data scientists and business stakeholders. Our ambition is to make trustworthy data easier to access and use while reducing unnecessary complexity for the teams depending on it.
This is also a team in transformation. You’ll have real opportunity to influence the platform, engineering practices and how the team works together.
What success looks like
Teams across TV4 and MTV can access trustworthy data without unnecessary friction.
Data products are reliable, observable and understandable in production.
Engineers can develop and deploy changes safely and quickly.
Technical problems are addressed structurally rather than repeatedly worked around.
The platform becomes easier to operate and evolve as usage grows.
Your contribution raises the engineering capability of the team, not just the amount of code delivered.
What TV4 offers
The opportunity to influence how data is used across one of the Nordics’ largest media organisations.
High autonomy and short paths from idea to decision.
A Nordic team with strong ambitions and significant technical challenges ahead.
Real influence over platform architecture, engineering practices and technical direction.
Colleagues who share knowledge and help each other succeed.
Modern Stockholm office with gym, restaurant, parking and rooftop terrace.
Collective agreement, occupational pension, insurance, wellness allowance, Benify, phone of your choice and MacBook Pro.
Practical information
Location: Stockholm.
Office-first: Four days per week from the office.
Work eligibility: You must already have the right to work and reside in Sweden. We cannot provide visa sponsorship or relocation for this position.
Permanent employment, starting with a six-month probationary period.
Background check is part of the recruitment process.
We look forward to hearing from you.