- Manage and assist a team of data engineers.
- Design and continue to build essential data infrastructure for the organisation alongside data pipelines & ETLs.
- Collaborate with data scientists and machine learning engineers to design and implement scalable and efficient ML-based solutions.
- Coach and mentor your junior team members.
- BSc/ MSc / PhD degree in Computer Science or STEM subject
- Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs.
- Strong Python coding skills
- GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery)
- Experience with modern development methods and tooling:
- containers (e.g., Docker)
- container orchestration (Kubernetes / K8s)
- CI/CD experience
- Version control (Git, Github, Gitlab)
- Orchestration / DAGs tools (e.g., Argo, Airflow, Kubeflow)
- Infrastructure as Code (Terraform, etc.)
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Lead Data Engineer - Greater London, United Kingdom - Xcede
Description
LEAD DATA ENGINEER
London x2 days a month in office
OVERVIEW
Xcede are delighted to be partnered with one of the UK's most impactful HealthTech brands. The organisation have won numerous awards for their data-led approach to designing an impactful B2C product that has entirely disrupted their domain and outperformed their competitors.
With a well-established analytics, data science, and data engineering function already in place, the team is looking for a Lead Data Engineer to come in act primarily as a Principal IC while also helping with management of junior engineers (we'd like to see some experience of this).
RESPONSIBILITIES
REQUIREMENTS
HOW TO APPLY
Please register your interest by sending your CV to or click the Apply Link.