Teliacompany

Data Engineer

In short

Telia Finance, an independent credit market company serving Telia Company's B2B customers across the Nordics, is hiring a Data Engineer for its Product & Analytics team. The role covers building and maintaining scalable data pipelines, data models, and CI/CD practices to support reporting and analytics, plus integrating new data sources. It requires at least two years of hands-on data engineering experience, strong SQL and Python or Scala skills, experience with ETL/ELT and tools like Apache Spark, dbt, Airflow, or Great Expectations, and fluency in English and Swedish.

About the role
We're looking for a Data Engineer to join us at Telia Finance!
Telia Finance is an independent credit market company providing financial services to the B2B customers of Telia Company, one of the world's leading telecom operators. Telia Finance operates across the Nordic market, giving us the opportunity to offer innovative and competitive financing solutions on our customers' terms.
I'm Kerstin Helldal, and I lead the Product & Analytics team. I'm searching for someone ready to grow with us. We're a supportive, forward-thinking team focused on building trusted data foundations that enable reporting, analytics, and better financial decision-making.
What you'll do
You will design, develop, and maintain scalable data solutions that make data reliable, accessible, and ready for business use.
•Design and build scalable data pipelines and data models for analytics, reporting, and data-driven products.
•Ensure data quality, reliability, security, testing, monitoring, and documentation throughout the data lifecycle.
•Develop CI/CD practices that make data solutions robust and maintainable.
•Integrate new data sources into the analytics environment.
•Collaborate with analytics colleagues, business stakeholders, and technical teams to translate requirements into scalable solutions.
•Contribute to the continuous development of Telia Finance's data architecture and engineering practices.
What will help you thrive in this role
You are a pragmatic and curious problem-solver who takes ownership, values collaboration, and creates structure in complex data environments.
•Proven experience in data engineering or a similar role, with at least two years of hands-on experience.
•Strong knowledge of SQL and programming in Python or Scala.
•Hands-on experience with data pipelines, data models, and ETL and ELT processes.
•Experience using data processing, transformation, orchestration, and quality tools such as Apache Spark, dbt, Airflow, or Great Expectations.
•Solid understanding of data quality, testing, monitoring, security, and data governance principles.
•Ability to communicate and collaborate effectively with technical and non-technical stakeholders.
•Fluency in English and Swedish.
Nice to have: experience with CI/CD, infrastructure as code, automated testing, agile or cross-functional teams, on-prem and cloud-based data solutions, or a regulated environment such as finance.
About Telia
At Telia, we're a team of nearly 15,000 colleagues across the Nordics and Baltics, passionate about technology and connectivity. As a Leading Telecommunications Operator & Climate Leader, we drive change with large-scale, impactful projects while building a sustainable, inclusive world.
What we offer
When you join us, you'll receive a comprehensive benefits package tailored to your local market, opportunities for remote work, and more. You'll also have the chance to earn a bonus based on your performance and Telia's results.
Application
We look forward to receiving your application by 06.01.2027. Please note that we might close the position earlier if we find the right candidate, so don't wait too long to apply.
If you're selected for the next stage, you'll be contacted by our Talent Acquisition Partner. Background and reference checks will be part of the process.
Want to know more about this role? Please reach out to Austeja Pozeraite, Talent Acquisition Partner, at [email protected].
This role is based in Solna, Stockholm, Sweden.

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