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Data Platform Engineer

Job Description


London Office x2/3 days a month


Xcede are delighted to partner with one of Europe's most exciting HealthTech firms. The organisation is utilising a blend of modern AI expertise & domain specialisation in an effort to improve the industry from an operational perspective, while also making huge inroads on the journey to preventative rather than reactive medicine.

The automated, intelligence-led features of the company's product are their differentiator, and as a result, their Data unit is realistically their most impactful team.

They're currently growing organically based on demand from their customers, leading to the current search for a Data Platform Engineer.


  • Create Data Pipelines for ingestion and delivery while continuing to maintain them, too.
  • Ensure a consistent and optimised Data Platform at the company (with a key focus on scalability and ongoing performance).
  • Work with and store a variety of structured and highly unstructured sources of data.
  • Look after and administer the company's CI/CD environment, Github repositories and VPC.
  • Advise on all Data Architecture and Data Warehousing measures.


  • Ideally a BSc/ MSc / PhD degree in Computer Science or STEM subject
  • Strong Google Cloud Platform / GCP experience (BigQuery, GCS, Datastream, Dataflow, etc.)
  • Strong Python coding skills
  • Experience with modern development methods and tooling:

  1. containers (e.g., Docker)
  2. container orchestration (Kubernetes / K8s / Google Kubernetes Engine / GKE)
  3. CI/CD tools
  4. Version control (Git, Github, Gitlab)
  5. Orchestration / DAGs tools (e.g., Argo, Airflow, Kubeflow)
  6. Infrastructure as Code (Terraform, etc.)

  • Knowledge of streaming tools (Pub/sub, Kafka, etc.) hugely beneficial


Please register your interest by sending your CV to or click the Apply Link.