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Open nowPosted 13 hours ago

Senior Cloud Data Engineer

Techster Solutions14 open roles

Where
Stockholm, Sweden
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Your applicationOpen nowSenior Cloud Data EngineerTechster Solutions · Stockholm, Sweden
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Techster Solutions postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 13 hours ago

Techster Solutions median: 6 days open

The posting

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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