Data Engineer – Cloud Platform & Connected Vehicle Data

Groupe SEGULA Technologies SA; Göteborgs kommun; On-site; SEK 520,000 - 780,000; Full time

Job summary

Groupe SEGULA Technologies SA in Gothenburg is seeking a Data Engineer to develop, manage and operate business-owned data products on the company’s data platform across multiple cloud environments. You will focus on data pipelines, data warehouse development, data governance and data quality, plus operational monitoring and infrastructure automation to enable scalable analytics and ML/AI workflows.

Collaboration with the Data Solutions and Products team on customer sites is a key aspect of the

Qualifications

• Experience designing, building and operating data pipelines and data warehouses.
• Knowledge of data governance, data quality and cloud infrastructure automation.

Responsibilities

• Develop, manage and operate data products on the company’s data platform across cloud environments.
• Improve data governance, quality monitoring and automation for scalable data services.

Job description

In this job, you will join the Data Solutions and Products team, part of Cloud Platform and Data at our customers site. The team designs, develops, operates, and continuously improves European vehicle data platforms and data services.

The solutions they build support internal vehicle data services—including data query and analytics, ADAS dashboards, battery health reporting, regulatory reporting, and ML/AI pipelines—as well as external B2B data services that securely expose vehicle data to customers and partners. In addition, the team is responsible for data product operations, data platform maintenance, data quality monitoring, access management, data governance, compliance, cost optimization, and the operation of global data products adapted for the European market.

As a Data Engineer, you will be responsible for developing, managing, and operating business-owned data products on the company’s existing data platform. While the IT team manages the underlying platform infrastructure, you will focus on data pipelines, data warehouse development, data governance, data quality, operational monitoring, and infrastructure automation across different cloud environments.