Data Engineer | GCP & DBT

Are you an experienced Data Engineer who wants to work with large-scale data platforms, modern cloud services, and advanced data modeling? Do you thrive in an environment where data is central to business decisions and where robust data flows make a real difference? Then this could be the assignment for you.

We are now looking for a Data Engineer to a team within Data & Analytics where you will play 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 are 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 be given great responsibility and the opportunity to influence technical solutions, working methods, and best practices within data platforms, data modeling, and development.

Your tasks

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 regarding data needs and solution design Document solutions and establish common working methods and best practices

We are looking for you who have

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 speech and writing

Meritorious

Python IAM and platform administration Experience of AI-assisted development with, for example, GitHub Copilot or Claude Fluent Swedish Experience of modern Data Mesh or Data Platform environments

To succeed in the role, we believe you are

Business-oriented 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 A person who likes to share knowledge and support colleagues

About Experis

Experis is a leading player in IT and technology recruitment as well as consulting solutions. We help specialists and companies find the right match through exciting assignments at some of Sweden's most attractive employers. As a consultant via Experis, you get access to interesting assignments, professional development, and an engaged network of specialists and consultants.

Application

Does this sound like an assignment for you? Submit your application today as selection and interviews are conducted on an ongoing basis. For questions, contact: Daniel Jordacijevic Talent Acquisition Specialist, Experis daniel.jordacijevic@se.experis.com

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