Techster Solutions

Cloud Data Engineer

In short

Senior Cloud Data Engineer role on a Client Reporting team, building and modernizing data pipelines, APIs, and data products on GCP while bridging legacy systems with a cloud-native architecture. Requires several years of software development and data engineering experience, strong Python, BigQuery and SQL skills, and hands-on expertise with GCP tools like Dataform, Airflow, Pub/Sub, Docker, plus DevOps practices (CI/CD, GitLab, Terraform). Office-based position in Stockholm, Sweden, full-time.

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