Senior Data Engineer

• Take technical ownership of platform components, ensuring quality and consistency

• Establish, apply, and evolve engineering best practices, design patterns, and coding standards

• Define reusable patterns and frameworks across the data platform (including layered/medallion architecture approaches)

• Identify opportunities to improve performance, cost efficiency, scalability, and reliability

• Contribute to the target architecture and long-term platform direction

• Design and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python)

• Apply strong practices in test-driven development, monitoring, logging, and observability

• Own more complex technical solutions and problem-solving

• Support production issues and drive root-cause improvements rather than quick fixes

• Ensure data lineage and traceability across the data lifecycle, so any figure can be traced back to source

• Ensure sensitive data is appropriately protected within the ClarusONE data governance framework

• Work with IT teams to ensure solutions meet governance and compliance requirements (e.g. SOX)

• Understand and manage the implications of production changes within a controlled release process

• Contribute to and maintain Infrastructure as Code (IaC) for the platform (Azure, AKS) in collaboration with the Infrastructure team

• Work within and help mature CI/CD pipelines, deployment workflows, and governance processes

• Continuously improve how the team builds, tests, and deploys data pipelines

• Bring forward ideas to improve the platform, tooling, and developer experience

• Evaluate emerging technologies and contribute to adoption decisions

• Support platform evolution, including re-architecture and migration activities

• Support other Data Engineers by sharing best practices and technical approaches

• Collaborate closely with Analytics & Data Insights, Software Engineering, and IT/Infrastructure

• Present technical work and recommendations to a range of audiences, including company-wide forums

• Build strong working relationships with business stakeholders, including Finance, and translate technical concepts into clear, practical terms

(The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.)

Minimum Requirement

Degree or equivalent and typically requires 7+ years of relevant experience.

Bachelor's degree level or above

• 6+ years' experience in data engineering or platform engineering, including at least 2 years at senior or lead level

• 4+ years' experience building and maintaining CI/CD pipelines, deployment workflows, and associated governance processes

• Advanced SQL and Python, with hands-on experience building data pipelines and transformations at scale

• Hands-on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred)

• Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar)

• Experience contributing to platform migrations, re-architecture, or modernisation programmes

• Proven ability to present technical concepts to non-technical and senior stakeholders, including Finance, and influence decisions through practical recommendations

• Maintaining Infrastructure as Code for cloud-based data platforms

• Exposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerations

• Operating Airflow at scale, including DAG reliability, scheduling, and failure handling

• Version control, branching strategies, and release processes

• Test-driven development and automated testing within CI/CD workflows

• Defining and enforcing standardised engineering patterns across a shared codebase

• Operational reliability, including monitoring, structured logging, alerting, and systematic failure recovery

• PySpark

• Experience supporting Airflow in a self-managed environment

• Experience in a business building a data platform from the ground up

This is a hybrid role based in the UK, with an expectation of two days per week onsite. Applicants must hold existing right to work in the UK; sponsorship is not available for this position.

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