Senior Data Engineer

Location and working pattern

• Based in Soho, London, with hybrid working and three office days, Tuesday to Thursday.

Role overview

Key responsibilities

• Lead GCP data-pipeline design and delivery, integrating sources, ensuring data quality and enabling real-time processing.
• Design data models and databases for analytics using dimensional modelling and appropriate GCP database technologies.
• Automate workflows, optimise storage and processing costs, and establish performance-tuning practices.
• Implement cloud security, access controls and data-governance practices.
• Define data requirements with partner teams, provide technical leadership and evaluate technologies.
• Resolve pipeline and data-quality incidents, lead architecture for batch and real-time workloads, and implement preventative improvements.
• Translate business needs into data solutions, mentor engineers and review technical designs.
• Improve system reliability, performance and cost-effectiveness; maintain secure integrations and define monitoring and alerting standards.

Skills, knowledge and experience

• Significant data engineering or data warehousing experience with large-scale, complex datasets.
• Advanced SQL and Python skills and appropriate use of AI-assisted development tools.
• Strong data-modelling knowledge and deep experience with cloud data services, ideally GCP.
• Experience designing ELT pipelines for real-time and large-scale batch processing.
• Experience deploying and maintaining infrastructure using Infrastructure as Code and tools such as Terraform.