START

ASAP 

SLUT

2026-06-30

STAD / REMOTE

Stockholm (remote 40%)

OMFATTNING

100% 

UPPDRAGSBESKRIVNING

You will be involved in one of the biggest data transformation journey. As a data engineer, you will be working with building of data products in the context of Data Mesh concept based on defined target vision and requirements.

We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.

You will join the Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain and be an individual contributor in one of the data product-teams. The area supports all our brands globally to create, structure, guard and ensure data is available, understandable and of high quality.

Responsibilities

• Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision
• Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform)
• Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance
• Work close to the Product Manager and other stakeholders around vision for existing data products and identifying new data products to support our customer needs
• Work with product teams within and outside our domain around topics that relate to the data mesh concept
• Evaluate and drive continuous improvement and reducing technical debt in the teams
• Maintain expertise in latest data/analytics and cloud technologies

KOMPETENSKRAV

• Passion for Data, people, and technology
• At least 4+ years' hands-on work experience as Data engineer on GCP/modern cloud data platforms, or advanced analytics environments
• Experience in cloud technologies and infrastructure
• Experience in GCP tools – Bigquery, Cloud Functions, Pubsub, etc.
• Experience in different data formats (Parquet, Avro)
• Experience in data query languages (SQL or similar)
• Experience in data centric programming using one of more programming languages (Python, Java or Scala)
• Good understanding of different data modelling techniques and trade-off
• Knowledge of NoSQL and RDBMS databases