Senior Data Engineer GCP, dbt & Data Pipelines - 20336
Veritaz AB · Stockholm · 6 månader – upp till 12 månader · Deadline 2026-11-22
Veritaz is seeking a **Senior Data Engineer** for a consulting assignment within Data & Analytics at a large client organization handling complex environments and high data volumes. The position focuses on building and maintaining robust, scalable, and high-quality pipelines for data ingestion, storage, and processing to support analytics, reporting, and business decisions. Core responsibilities include constructing and optimizing data transformations using Jinja SQL and dbt, deploying infrastructure via Terraform, managing CI/CD workflows in GitHub, and optimizing BigQuery performance. The work also involves utilizing Kafka or equivalent event-streaming platforms, applying dimensional data modelling, and collaborating closely with business stakeholders, developers, data architects, and source system owners. Candidates must have extensive experience with **Jinja SQL, dbt, and Terraform**, alongside strong expertise in Google Cloud Platform services, specifically BigQuery, Cloud Functions, Dataflow, Cloud Run, and Cloud Build. Applicants are required to have practical experience with GitHub CI/CD, Kafka or similar event-streaming technologies, data pipeline optimization, and a solid understanding of data warehousing principles such as Kimball modelling. **Fluency in English** is essential. Python development experience, knowledge of platform administration and IAM, familiarity with AI-assisted tools like GitHub Copilot or Claude, and fluency in Swedish are considered meritorious.
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Job Overview
Assignment Description
We are looking for an experienced Data Engineer for a consulting assignment within Data & Analytics at a large organization with complex data environments and large data volumes.
You will build and maintain robust, scalable, and high-quality data pipelines using modern cloud technologies. The role focuses on data processing, data quality, performance optimization, and data modelling to support analytics, reporting, and business decision-making.
What You Will Work On
- Develop and maintain pipelines for data ingestion, storage, and processing.
- Build and optimize data transformations using Jinja SQL and dbt.
- Work with GCP services, including BigQuery, Cloud Functions, Dataflow, Cloud Run, and Cloud Build.
- Implement and maintain infrastructure using Terraform.
- Manage CI/CD workflows using GitHub.
- Optimize BigQuery performance and data pipelines.
- Work with Kafka or similar event-streaming platforms.
- Apply data warehousing and dimensional modelling best practices.
- Maintain high standards for code structure, documentation, and data quality.
- Collaborate with business stakeholders, development teams, source system owners, and data architects.
What You Bring
- Extensive experience with Jinja SQL and dbt.
- Extensive experience with Terraform.
- Strong experience with GCP, particularly BigQuery, Cloud Functions, Dataflow, Cloud Run Services/Jobs, and Cloud Build.
- Experience with GitHub CI/CD.
- Experience with Kafka or similar event-streaming platforms.
- Solid understanding of data warehousing and data modelling, such as Kimball.
- Experience optimizing BigQuery and data pipelines.
- Fluent English, spoken and written.
Meritorious
- Python development experience.
- Platform administration and IAM knowledge.
- Experience with AI-assisted development tools such as GitHub Copilot or Claude.
- Fluent Swedish, spoken and written.