Lead Data Engineer

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

• 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.

REQUIREMENTS

• 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:

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

HOW TO APPLY

Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply Link.