GCP Data Engineer

• Help design, build and continuously improve the clients online platform.
  


• Research, suggest and implement new technology solutions following best practices/standards.
  


• Take responsibility for the resiliency and availability of different products.
  


• Be a productive member of the team.
  
  
  

Requirements

• Build, optimize, and support existing and new data pipelines aligned with the target architecture.
  


• Implement and maintain DevOps practices, including CI/CD pipelines, Terraform, and Google Cloud Platform (GCP) infrastructure.
  


• Design data products as independent deployment units with a focus on security, scalability, observability, and performance.
  


• Collaborate with Product Managers and stakeholders to define data product roadmaps and identify new business opportunities.
  


• Work with cross-functional product teams to enable data sharing and integration in a data mesh environment.
  


• Drive continuous improvement of data engineering practices and reduce technical debt.
  


• Stay current with advancements in data engineering, analytics, and cloud technologies.
  


• Experience with GCP services such as Cloud Run.
  


• Experience with large-scale data processing and orchestration frameworks, including Spark, Beam, and Hive.
  


• Experience working with data formats such as Avro, Parquet, Iceberg, and Hudi.
  


• Experience with DBT for production data transformation workflows.
  


• Knowledge of modern data governance and data cataloging practices.
  


• Experience with data visualization tools and collaboration with analytics stakeholders.
  
  
  

Benefits

• International, collaborative consulting culture with clear career development paths.
  


• Comprehensive Swedish benefits package emphasizing well-being, mobility, and career growth.