Data Manager

Please note this role is open to UK citizens only

Data Engineering Lead / Manager

We’re looking for an experienced and hands‑on Data Engineering Lead to drive the evolution of enterprise data platforms within a fast‑paced, highly regulated environment. This role combines technical leadership, people management, strategic roadmap ownership, and hands‑on engineering delivery, with a strong focus on compliance, data processing, data modelling, and enterprise data architecture.

The successful candidate will lead a small team of engineers while remaining deeply involved in architecture, development, and delivery. This is an ideal opportunity for someone who enjoys balancing leadership responsibilities with hands‑on technical problem solving.

• Lead, mentor, and develop a small team of data engineers delivering enterprise‑scale data solutions.
• Own and execute the data engineering roadmap in partnership with senior leadership and business stakeholders.
• Drive the design and implementation of scalable, secure, and compliant enterprise data platforms.
• Work closely with compliance, operations, and business teams to ensure data processes align with regulatory and governance requirements.
• Design and maintain robust data models supporting enterprise reporting, operational workflows, and reconciliation processes.
• Remain hands‑on with architecture, coding, code reviews, troubleshooting, and delivery activities.
• Develop and optimize ETL/ELT pipelines and enterprise data integration solutions.
• Ensure strong data governance, data quality, monitoring, and operational controls across all data systems.
• Partner with cross‑functional stakeholders to translate business requirements into scalable technical solutions.
• Support agile delivery processes including sprint planning, prioritization, estimation, and delivery management.
• Champion engineering best practices including testing, CI/CD, documentation, and automation.
• Continuously improve platform scalability, operational resilience, and engineering standards.
• Support hiring, onboarding, performance management, and career development within the engineering team.

• 8+ years of experience in data engineering, including leadership or team management responsibilities.
• Strong hands‑on experience with Oracle databases and enterprise SQL development.
• Strong Java development experience in enterprise environments.
• Experience with Groovy is highly desirable.
• Strong understanding of enterprise data processing, data modelling, and data architecture principles.
• Experience working within compliance‑focused or highly regulated environments such as financial services, banking, payments, or similar industries.
• Proven experience building and maintaining enterprise ETL/ELT pipelines and large‑scale data integration frameworks.
• Strong understanding of transactional and reconciliation data systems.
• Experience designing scalable data solutions across cloud and hybrid environments.
• Familiarity with modern data engineering tooling such as DBT, Airflow, and Airbyte is desirable.
• Experience with CI/CD pipelines, Git workflows, testing frameworks, and software engineering best practices.
• Strong stakeholder management and communication skills with the ability to engage both technical and non‑technical audiences.
• Demonstrated ability to lead teams while remaining hands‑on and delivery-focused.
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.