Top Tech Jobs & Startup Jobs in London

Build and maintain metric definitions, KPIs, source-of-truth tables, and data models using advanced SQL and dbt. Own dbt Cloud infrastructure, optimize models and queries, manage GitHub workflows, and create dashboards with BI tools. Partner with analysts, data engineers, and business stakeholders to solve problems, deliver insights, and improve self-service analytics through Snowflake Intelligence. Requires strong communication, organization, stakeholder management, and understanding of sports betting or customer behavior.

Designs and maintains highly available cloud-native infrastructure, CI/CD pipelines, developer tooling, platform security, and observability systems. The role partners with engineering and product teams to deliver scalable solutions, leads incident response, evaluates AI-generated code for security and architectural risks, and mentors engineers. Candidates will use AI coding collaborators, infrastructure-as-code, Java and Python, and modern cloud platforms to improve developer productivity and operational reliability.

Build and operate production data pipelines using Python, SQL, Airflow, Snowflake, and Databricks. Implement ingestion sources, DAGs, schemas, monitoring, catalog registration, reverse ETL, and governance controls. Investigate pipeline failures, perform lineage analysis, review code, identify downstream risks, and support data quality, security, and access controls. Collaborate with stakeholders, clarify requirements, document escalations, and mentor junior data engineers.