Data Engineer
Summary
Six-month consulting placement via Emagine for a senior platform engineer to build and improve a GCP-based Data & Analytics platform at a client in Solna/Stockholm — hands-on with GKE/Kubernetes, Terraform, CI/CD, IAM and cloud security, plus observability and developer self-service enablement. Hybrid with onsite presence.
Scope: 100 %
Period: 2026-11-02 - 2027-04-30.
Assignment description
Data & Analytics is looking for a Senior Platform Engineer with strong hands-on Google Cloud Platform experience to strengthen our Platform & Enablement capability.
The consultant will work with the design, development and continuous improvement of cloud-based platform capabilities supporting Data & Analytics teams. The assignment combines hands-on engineering with platform design, automation, security, reliability and developer enablement.
We are looking for a senior engineer who can work independently in a complex enterprise environment, collaborate closely with platform engineers, data engineers, architects and security stakeholders, and contribute both operationally and strategically to the evolution of our GCP-based platform.
Responsibilities
Design, build and improve platform capabilities on Google Cloud Platform
Work hands-on with GKE/Kubernetes and container-based workloads
Develop and maintain Infrastructure as Code, primarily using Terraform
Contribute to CI/CD and GitOps-based delivery patterns
Work with GCP networking, IAM, security and access management
Develop reusable platform components and enable self-service for engineering teams
Contribute to monitoring, logging, observability and operational reliability
Support engineering teams onboarding workloads onto the platform
Work closely with architects, security and engineering teams to ensure scalable and secure platform solutions
Contribute to technical standards, patterns and long-term platform improvements
Mandatory requirements
Senior-level professional experience in Platform Engineering / Cloud Engineering / DevOps
Several years of hands-on production experience with Google Cloud Platform
Strong practical experience with GKE and Kubernetes
Strong hands-on experience with Terraform / Infrastructure as Code
Experience designing or developing cloud platform foundations / landing-zone capabilities
Experience with IAM, workload identity, networking and cloud security
Strong experience with CI/CD and automated software/infrastructure delivery
Experience with monitoring, logging and observability in cloud environments
Experience supporting multiple development or engineering teams through common platform capabilities
Ability to work independently and take technical ownership in a complex enterprise environment
Strong communication skills in English
Highly meriting
GCP data services, for example BigQuery, Dataflow and Pub/Sub
Apache Beam
Data ingestion and/or streaming platforms
GitOps
Helm
Backstage or Internal Developer Platforms
Python and Bash
Google Cloud networking and security services
Multi-cloud environments involving GCP together with Azure and/or AWS
Platform engineering in regulated or security-sensitive enterprise environments
Developer self-service and platform enablement
Seniority
The consultant is expected to be comfortable taking significant technical ownership while remaining hands-on in implementation.
Location / working model
Solna / Stockholm.
Hybrid setup with presence onsite as part of the assignment.