Principal Engineer, Data

Description

• Partner with Engineering Managers to ensure all data‑related technical solutions are delivered in alignment with the agreed strategy, architectural principles, and compliance obligations.
• You’ll be responsible for aligning data strategies and technical approaches across Engineering Managers (EMs) and Senior Engineering Managers (SEMs), influencing the data‑related direction for 3–6 squads operating at different points along our value chain. You will actively ensure product strategy and data strategy alignment, and engage early in product discovery to validate solutions, shaping innovations that unlock new insights and capabilities while meeting regulatory obligations.
• Coach and mentor experienced engineers, enabling the growth of future technical leaders in data engineering and architecture within your domain.
• Design high-quality, cross-squad, data-centric solutions in collaboration with a diverse set of stakeholders, ensuring interoperability across systems in the value chain.
• Develop and lead actionable plans to improve the health, resilience, and integrity of data pipelines and platforms across the domain.
• Promote exploration and assessment of emerging data technologies, practices, and patterns to maintain REA’s strength in data architecture and engineering.
• Actively participate in defining a clear data architecture and engineering strategy for your area by collaborating with Architects, Directors of Engineering, Engineering Managers, and Data Governance stakeholders.
• Engage externally to share expertise and showcase REA’s leadership in data engineering and innovation, further building the organisation’s reputation.
• Foster a connected internal data engineering and architecture community, encouraging knowledge‑sharing, technical excellence, and alignment across squads.

Requirements

• Practical data related AI capability & similarly HubSpot/CRM design/build would be beneficial.
• Experienced in designing and optimising ETL workflows, data warehousing, and multi cloud architecture (AWS and GCP).
• Experience in the mortgage or financial services industry is a plus.
• Expertise in building data intensive applications and large-scale distributed systems.
• Strong analytical, creative and problem-solving skills.
• 8+ years of experience in the data engineering space, with a focus on data pipelines, analytics, data services or related fields.
• Work productively in a fast paced and agile environment.
• Bachelor's degree in Computer Science, Data Science, Business, or a related field. A master's degree is a plus.
• Demonstrated growth mindset.
• Deep understanding of modern data architectures, batch and stream processing pipelines, and event-driven systems leveraging Kafka and Pub/Sub.
• Excellent verbal and written communication skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.

Benefits

• A hybrid and flexible approach to working
• Flexible parental leave offering for primary and secondary carers
• Hackdays so you can bring your big ideas to life
• Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
• Flexible leave options including, birthday leave and purchase additional leave
• Permanent full time role based in Richmond

Training + Development

Interview process

Visa Sponsorship

Security clearance