Mid-level Data Engineer
Summary
Builds, optimizes, and supports data pipelines in Google Cloud Platform (GCP), manages CI/CD and cloud infrastructure with Terraform, and collaborates on data products in a data mesh context.
Period from: ASAP
Period to: 2027-11-30
Scope: Full-time, 100 %
Location: On-site in Stockholm 4 days a week
Target rate: 750 SEK/h
Responsibilities
Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom.
Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP).
Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance.
Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs.
Partner with product teams across domains to enable data sharing and integration within a data mesh context.
Drive continuous improvement, enhance data engineering practices, and reduce technical debt.
Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.
Nice to Have
Experience with GCP services such as Cloud Run
Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).
Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).
Experience with DBT in production data transformation workflows.
Knowledge of modern data governance and cataloging practices.
Experience with data visualization tools and collaboration with analytical stakeholders.
Required cloud certification: Yes, good to have GCP data engineer.
Consultant is expected to have certificate at latest 1 month after start, if not already certified.