Role Overview
The Senior Data Engineer is the technical owner of the ClarusONE data platform. This is a hands-on engineering role with real ownership: alongside building and delivering data pipelines, you will raise the engineering standard of the platform — improving its reliability, scalability, security, and quality and help shape where it goes next.
The platform has grown quickly, and this role is central to establishing the engineering patterns, frameworks, and best practices that will support it at scale. You will bring a technical lens to infrastructure, deployment practices, and architecture, and act as a trusted technical voice within the team.
You will operate within the ClarusONE data governance framework, ensuring sensitive data is properly protected and that data can be traced end to end through its lifecycle. You will work closely with Analytics, Data Science, Software Engineering, and IT/Infrastructure to maintain an accurate, efficient, and compliant data environment — and will communicate confidently with stakeholders across the business, including Finance.
Key Responsibilities
Platform Ownership & Engineering Standards
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
Data Engineering & Delivery
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
Data Governance, Traceability & Compliance
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
Infrastructure & DevOps
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
Innovation & Platform Evolution
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
Collaboration & Communication
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.
Education
Bachelor's degree level or above
Critical Skills
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
Additional Knowledge & Skills
Platform & Infrastructure
Maintaining Infrastructure as Code for cloud-based data platforms
Exposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerations
Orchestration & Version Control
Operating Airflow at scale, including DAG reliability, scheduling, and failure handling
Version control, branching strategies, and release processes
Engineering Best Practice
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
Desirable
PySpark
Experience supporting Airflow in a self-managed environment
Experience in a business building a data platform from the ground up
Working Arrangements
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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