Senior Data Engineer GCP, dbt & Data Pipelines - 20336
Stockholm, Sweden
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- Education
- Master's
- Languages
- English, Swedish
Skills mentioned
About the role
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.