Data Engineer

Want to be a key player building and operating the technical data foundation behind one of the Nordics’ most well-known e-commerce marketplaces? At CDON Group, data is a critical asset used across the entire organization, but also as a foundation for integrations, automation, and future AI-driven use cases. We’re now rebuilding and modernizing our data platform, and we’re looking for a Data Engineer who wants to work hands-on with data pipelines, infrastructure, and custom-built data solutions.

About us Join us at CDON Group, a Swedish listed company with a long history and extensive experience in the e-commerce market. Our mission is to unleash the power of the marketplace to give the best shopping experience in the Nordics. We are dedicated to providing great online shopping experiences and are on the lookout for a Data Engineer to join us on this journey for our two Nordic marketplaces: CDON and Fyndiq.

About the role As a Data Engineer at CDON, you will have a central role in building, operating, and evolving the technical foundations of our data platform. You will work with data modeling in dbt, but also take responsibility for pipelines, infrastructure, and services that live outside the data warehouse. You will be part of a small data team, working closely with the wider tech organization and with stakeholders across the business. The role includes both exploratory work and building solutions that are later productized and maintained together with the tech team.

Responsibilities includes

Model and transform data using dbt and contribute to core data models

Build, deploy, and maintain data pipelines from multiple source systems

Develop and maintain Python-based services and applications for data use cases

Work with infrastructure and deployments using Docker and Terraform

Operate and maintain our self-hosted Airbyte setup for data ingestion

Build technical solutions to support automation, data feeds, and AI use cases

Troubleshoot and improve existing data flows and integrations

Work closely with stakeholders to understand requirements and build sustainable technical solutions

Our tech stack is centered around dbt and Google BigQuery, together with Python, GCP, Docker, Terraform, and modern data ingestion and BI tools.

Qualifications and requirements

We’re looking for someone analytical and technically curious, who is comfortable working with both data and infrastructure. You enjoy solving practical problems and working in an environment where not everything is fully defined. We’d especially like to see:

3+ years of experience as a Data Engineer, Analytics Engineer, or similar role

Strong SQL skills and experience with data modeling

Experience writing Python for data pipelines or services

Experience working with cloud platforms, preferably Google Cloud

Familiarity with Docker and infrastructure as code, such as Terraform

Experience working with data ingestion tools and pipelines

Post-secondary education in engineering, computer science, or similar, or equivalent work experience

Professional fluency in Swedish, both written and spoken

Experience with self-hosted data tools, AI or ML-related workloads, and working in small tech organizations is considered a strong merit.   What we offer

An opportunity to be part of a unique growth journey, actively contributing to the success of the leading e-commerce marketplaces in the Nordics.

A collaborative and dynamic work environment, with passionate colleagues who believe in CDON Group’s mission

Competitive compensation package, including benefits such as pension and insurance through Max Matthiessen and MyBenefit portal.

Career growth opportunities within a rapidly evolving company.

Application Process: Please attach your resume and a brief cover letter outlining your interest and suitability for the job. We will be conducting interviews with candidates on an ongoing basis. To ensure a professional and unbiased assessment, we will ask candidates to perform a combination of logical reasoning and personality tests as part of the process.