Codat - Senior Data Engineer
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Requirements
• Strong software engineering fundamentals: you write well-tested, production-ready code and care about maintainability, observability, and operational excellence. • Solid experience with modern data engineering tools and patterns — some combination of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and DBT. • Proficiency in a strongly typed language, ideally Python or C#. • Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure. • A product mindset — you want to understand the business domain and use that understanding to influence what you build, not just how you build it. • The ability to communicate clearly with both technical and non-technical colleagues.
Responsibilities
• Write production code daily, most likely in Python, building and maintaining the data pipelines that power our Insights products. • Own the full lifecycle of your projects: understanding the data domain, designing pragmatic solutions, shipping them, and keeping them running reliably. • Drive technical quality through strong engineering practices — testing, observability, data quality checks, and clean, maintainable code. • Collaborate with product, data science, and engineering stakeholders to shape what we build and how we build it. • Identify opportunities to apply AI within our products and workflows where it delivers genuine value. • Contribute to the growth of the team by sharing knowledge and championing good engineering practices.
Benefits
• £105K – £120K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Progress over Polish • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Prefer not to say • Development Cooridnation disorder/Dyspraxia • Austism spectrum disorder • Prefer not to say
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