TL;DR

Senior Data Engineer (GCP): Building and optimizing data products that drive business insights and decisions with an accent on CI/CD pipelines, cloud infrastructure, and data modeling. Focus on applying DevOps principles, collaborating with stakeholders, and continuously improving data processes.

Location: Flexible hybrid working model in Stockholm, Sweden

Company

%hirify_global% is a leading Swedish IT consulting and recruitment firm specializing in building high-performing technology teams and delivering end-to-end IT solutions.

What you will do

Take end-to-end responsibility for building, optimizing, and maintaining new and existing data products.
Apply DevOps principles to manage CI/CD pipelines, Terraform scripts, and cloud infrastructure (GCP).
Ensure data products adhere to standards for security, scalability, observability, and performance.
Collaborate closely with Product Owners and cross-functional teams on data-related initiatives.
Drive continuous improvement, optimize processes, and reduce technical debt.

Requirements

At least 4 years of hands-on experience as a Data Engineer, ideally on Google Cloud Platform (GCP).
Strong experience with GCP tools such as Dataflow and BigQuery.
Proficiency in Data Build Tool (DBT) and strong SQL skills.
Experience with data-centric programming using Python, Java, or Scala.
Solid understanding of data modeling techniques and knowledge of NoSQL and relational databases.
Fluent in English, both written and verbal.

Culture & Benefits

A dynamic and innovative workplace driving advancements in cutting-edge robotic technologies.
Opportunity to collaborate with talented cross-functional teams on meaningful projects.
Competitive compensation and comprehensive benefits package.
Supportive culture that fosters continuous learning, growth, and professional development.
Flexible hybrid working model for optimal work-life balance.
25 days of annual leave and an annual wellness allowance of 3,500 SEK.