Data Scientist / Data Engineer MLOps & GCP - 20702
Veritaz AB
- LocationStockholm; Stockholms län; Sverige
- Work typeNot stated
- EmploymentFull-time
- Posted9 November 2026
- SourceJobTech (Arbetsförmedlingen) job feed
Live checkFirst seen 4 h ago; still listed on JobTech (Arbetsförmedlingen) 3 h ago.
At a glance
- Skills and toolsCI/CD, Google Cloud, Machine learning, SQL, dbt
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
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 a Data Scientist or Data Engineer with hands-on experience in MLOps and CI/CD, preferably within Google Cloud Platform (GCP).
The role focuses on developing machine learning solutions, building reliable MLOps workflows and managing CI/CD pipelines. You will work with SQL and dbt in a cloud-based data environment and collaborate with data engineering and analytics teams.
What You Will Work On
Develop and implement machine learning solutions.
Build and maintain MLOps workflows.
Design and manage CI/CD pipelines.
Work with GCP-based data and machine learning environments.
Use SQL for data extraction, transformation and analysis.
Work with dbt for data transformation.
Collaborate with data engineering and analytics teams.
Improve deployment and operational processes for machine learning solutions.
What You Bring
Experience as a Data Scientist, Data Engineer or Machine Learning Engineer.
Hands-on experience with MLOps.
Experience building and managing CI/CD pipelines.
Strong SQL skills.
Hands-on experience with Google Cloud Platform (GCP).
Professional Swedish communication skills.
Familiarity with dbt.
Experience working with cloud-based data platforms.
Meritorious
Practical experience implementing MLOps and CI/CD solutions specifically on GCP.
Experience deploying and maintaining machine learning models in production.
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