Senior Data Engineer GCP, dbt & Data Pipelines - 20336
Veritaz ABSammanfattning
We are seeking an experienced Data Engineer for a consulting assignment focused on Data & Analytics within a large organization. This role involves building and maintaining scalable data pipelines using modern cloud technologies, particularly Google Cloud Platform (GCP). The position emphasizes data processing, quality, and performance optimization to support analytics and business decision-making.Jobbet i korthet
Anställningstyp
visstid
Arbetstid
heltid
Det här erbjuder vi
Opportunity to work with a large organization with complex data environments.Engagement in modern cloud technologies and data analytics.Collaboration with diverse teams and stakeholders.
Ansök senast: 2026-11-22
Publicerad: 2026-10-23
Beskrivning
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.
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.
Ansök till tjänsten
Senior Data Engineer GCP, dbt & Data Pipelines - 20336
OM FÖRETAGET
Veritaz AB
