Required skills
- DBT
- Jinja SQL
- Terraform
- Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Cloud Functions
- Cloud Run
- Cloud Build
- GitHub CI/CD
- Kafka
- Data Warehousing
- Data Modeling
- Kimball methodology
- BigQuery Optimization
Languages: Swedish
Job description
We are looking for a Data Engineer to join a Data & Analytics team, playing a key role in enabling data-driven decision-making by developing, optimizing, and managing modern data platforms.
Project overview
We are now looking for a Data Engineer to join a team within Data & Analytics where you will have a key role in enabling data-driven decision-making by developing, optimizing, and managing modern data platforms.
About the role
As a Data Engineer, you will be responsible for developing and maintaining scalable data flows and pipelines that ensure the right data is available for analysis, reporting, and business-critical decisions. You will work with large and complex datasets in modern cloud environments where performance, data quality, and availability are central requirements. The role encompasses both technical depth and close collaboration with the business, analysts, architects, and other development teams.
You will have significant responsibility and the opportunity to influence technical solutions, ways of working, and best practices within data platforms, data modeling, and development.
Responsibilities
We are looking for you who have
Meritorious
To succeed in the role, we believe you are
About Experis
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Application
Does this sound like an assignment for you? Submit your application today as selection and interviews are ongoing.
For questions, contact:
Daniel Jordacijevic
Talent Acquisition Specialist, Experis
[contact removed]
At Manpower, Experis, and Jefferson Wells, we value a safe and transparent recruitment process. We will never ask you for payment, bank details, or other sensitive personal information in connection with a job application or recruitment. If you receive suspicious messages claiming to be from us, please contact us at [contact removed].
- Develop and manage data platforms and data pipelines
- Design, implement, and optimize data flows for large datasets
- Work with data modeling and data warehousing
- Ensure high quality, availability, and performance in the data platform
- Optimize BigQuery solutions and data processes
- Build and further develop solutions with DBT and Jinja SQL
- Work with Infrastructure as Code through Terraform
- Develop and maintain CI/CD processes in GitHub
- Integrate and manage data from streaming platforms such as Kafka
- Collaborate with analysts, architects, and the business on data needs and solution design
- Document solutions and establish common ways of working and best practices
- Very good experience with DBT and Jinja SQL
- Very good experience with Terraform
- Solid experience with Google Cloud Platform (GCP), for example:
- BigQuery
- Dataflow
- Cloud Functions
- Cloud Run
- Cloud Build
- Experience with GitHub CI/CD
- Experience with Kafka or other event streaming platforms
- Very good understanding of Data Warehousing and data modeling according to, for example, the Kimball methodology
- Experience with BigQuery optimization and performance improvements
- Fluent English in speaking and writing
- Python
- IAM and platform administration
- Experience with AI-assisted development with, for example, GitHub Copilot or Claude
- Fluent Swedish
- Experience with modern Data Mesh or Data Platform environments
- Business-minded and solution-oriented
- Independent and responsible
- Comfortable working in changing environments
- Structured and proactive
- Analytical with the ability to see both details and the big picture
- Communicative and collaborative
- Interested in data-driven development and modern platform technologies
- Someone who enjoys sharing knowledge and supporting colleagues
Project details
Reference number: 54844
Posted: 02/11/2026
Number of positions: 1
Job type: Consulting assignment
Professional area: IT, Data
Apply by: As soon as possible
- Start: flexible
- Location: Stockholm, SE
- Languages: Swedish
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