Staff Engineer

2 days ago

Peterborough Cambridgeshire, United Kingdom Compare the Market Full time

Staff Engineer – Analytics Engineering
Function: Data
Location: Hybrid, London or Peterborough office
Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. We’re looking for a deeply experienced and collaborative Staff Analytics Engineer to help shape the future of data at Compare the Market. You will work across squads and domains to build scalable analytics infrastructure, champion modern engineering practices, and enable self-serve data at scale. Your work will support key business decisions, accelerate AI adoption, and uplift the capabilities of teams across the organisation.
Lead and deliver large-scale, high-impact data engineering initiatives that span multiple domains and stakeholders.
Define and evolve the architecture of shared dbt models, transformation pipelines, and workflows to support analytical, operational, and AI use cases.
Shape engineering standards and practices across the analytics data stack, including testing, documentation, observability, and CI/CD.
Enable centralised, self-serve capabilities by developing reusable data models and well-documented semantic layers.
Contribute to platform-level initiatives such as data migrations, model consolidation, and governance improvements.
Mentor engineers and analysts across teams, supporting long-term capability building and knowledge sharing.
Represent Analytics Engineering in technical forums, helping align strategies across data platform, analytics, and engineering.
Deep expertise in SQL and DBT, with a strong track record of building scalable, analytics-ready data models.
A system-level mindset with a focus on long-term maintainability, reusability, and performance.
Experience working with modern data engineering practices including version control, CI/CD, observability, and automation.
Databricks, Airflow, Spark, or large-scale data migrations.
We’re a business built for pace and performance. If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.

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