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Location
In office (Stockholm)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 3, 2026.

Overview
Company
Impact
Profile match
Techster Solutions helps companies find and fix security weaknesses before anyone else does. It offers penetration testing as a service, managed services and IT consulting, and its consultants work on assignments in the automotive industry. The company is headquartered in Gothenburg, Sweden.

About the role

As a Senior Cloud Data Engineer within the Client Reporting team, you will work with business-critical data flows and reports, while actively contributing to technical design choices and development. The client reporting area is undergoing a major transformation, moving from legacy platforms to a modern cloud-based data ecosystem on GCP. The team’s mission is to make data accessible, reliable, and easy to consume, enabling data-driven decisions and powering next-generation applications.

What you will do

As a Senior Cloud Data Engineer, you will

- Drive and be part of the technical roadmap for data and integration solutions

- Work hands-on with technical design, development and implementation, as well as maintaining existing applications in the area

- Build and modernize data pipelines, APIs, and data products

- Bridge legacy systems with a modern cloud-native architecture in GCP

- Collaborate closely with architects, product owners, and other stakeholders

- Ensure alignment with technical standards, patterns, and target architecture

Who you are

You are a senior data engineer with a strong technical foundation in Cloud, who enjoys combining strategy and technical design with hands-on work.

We believe you have

- Several years of experience in software development and data engineering

- A hands-on mindset with years of proven deliveries in GCP or similar cloud platforms

- Strong knowledge of Python, BigQuery, SQL

- Experience building scalable data solutions using tools such as BigQuery, Dataform, Airflow, Pub/Sub, Docker

- Understanding of modern data architectures (Data Warehouse, event-driven)

- Experience with ETL processes and data modelling (e.g. dimensional modelling, Data Vault)

- Experience with DevOps practices, CI/CD, GitLab, and Infrastructure as Code (e.g. Terraform)

- A collaborative mindset and the ability to translate business needs into technical solutions

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