Data Engineering Lead – 12 Month FTC

Job Profile Summary

The Data Engineering Lead is responsible for designing, building, and implementing scalable data engineering solutions on Snowflake, ensuring high‑quality, governed, and performant data pipelines. The role provides hands‑on technical leadership and aligns engineering delivery to business priorities.

Key Responsibilities

• Own the design, build, and implementation of data engineering solutions on Snowflake, ensuring delivery meets defined scope, quality, and engineering standards.
• Lead the development of scalable data pipelines, data models, and ingestion frameworks aligned to business use cases.
• Drive engineering execution across multiple workstreams, ensuring clarity of tasks, priorities, and dependencies.
• Define and enforce standards across data modelling, transformation, orchestration, and deployment.
• Oversee implementation of ingestion and transformation patterns (e.g., ADF, Fivetran, SQL/dbt, or equivalent).
• Ensure the Snowflake platform is scalable, performant, and cost‑efficient through effective design and optimisation.
• Provide hands‑on technical leadership, coaching, and guidance to data engineers.
• Identify and manage technical risks, issues, and dependencies, working with the Data Platforms Delivery Manager to support resolution.
• Design and oversee data integration from core insurance systems, finance platforms, and external sources, applying reusable data assets and layered models.
• Embed data quality, lineage, and governance controls within engineering solutions, ensuring adherence to data governance frameworks, regulatory requirements, and audit standards.
• Act as the primary engineering lead across data platform initiatives, translating business requirements into clear technical designs and implementation approaches.
• Provide clear input into delivery planning, highlighting dependencies, constraints, and technical considerations, and support alignment across engineering, analytics, and business teams.

Skills and Competencies

• Strong experience in data engineering leadership roles within cloud‑based data platforms.
• Deep expertise in Snowflake, including data architecture, optimisation, and performance tuning.
• Strong technical skills in SQL, data modelling, and ETL/ELT frameworks (e.g., ADF, Fivetran, dbt, or similar).
• Experience working within Azure data ecosystems (preferred).
• Understanding of data governance, data quality, and control frameworks.
• Ability to lead engineers, set standards, and drive technical accountability.
• Strong stakeholder management and communication skills within complex environments.
• Experience working within Insurance or Financial Services (preferred).

Education and Certifications

• A bachelor’s degree in a relevant field such as Computer Science, Information Systems, or a related discipline desirable.
• Professional certifications in cloud platforms (e.g., Azure), data engineering, or Snowflake desirable.
• Industry certifications in the insurance domain desirable.

Benefits

We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.

Equal Employment Opportunity Statement

Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics outlined in the Equality Act 2010 (UK legislation).

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