Senior Data Engineer

Role overview

Workplace and employment

• Barbican and Epsom with hybrid working and one office day per week.
• Permanent, full-time role; 37.5 hours per week.
• Competitive salary depending on experience; no salary cadence stated.

Responsibilities

• Own a data-platform functional area, set standards and tooling, and document work to support knowledge transfer.
• Lead initiatives end to end, including planning, resourcing and delivery with product, delivery, architecture and supplier partners.
• Line manage engineers and assigned external or temporary resources; set objectives, development plans and reviews.
• Design, build and operate ingestion, integration and transformation solutions on Snowflake, dbt and Azure.
• Ensure solutions are operationally ready, observable and supportable; contribute to incident and problem management.
• Coach mid-level engineers and contribute to roadmap, BAU planning, documentation, code quality, branching and testing standards.
• Escalate cross-cutting risks and dependencies and communicate with technical and non-technical stakeholders.

Requirements

• Substantial hands-on data engineering experience across integration, data modelling and data warehousing, with excellent SQL skills.
• Experience with ETL/ELT tools and database platforms, including integration using APIs, files and databases.
• Experience in performance tuning, data migration, relational database design and business intelligence support.
• Experience setting engineering standards, owning quality and outcomes, and leading delivery while managing scope, dependencies and risk.
• Line management or mentoring experience, or an appetite to develop it with structured support.
• Strong communication skills, including technical design documentation and explaining complex concepts to varied audiences.

Desirable experience and technologies

• The role's technologies include Snowflake, dbt, Azure Data Factory, Talend, SQL Server, New Relic and Terraform.
• Observability, incident management, CI/CD, DevOps, infrastructure as code, Azure DevOps, data governance and security are desirable.
• Healthcare or other regulated-environment experience is desirable.