Data Engineer

Job Specification – Data Engineer Job Summary We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that underpin AI solutions in the UK home-buying and mortgage market. This role requires a detail-oriented engineer with strong technical skills in data integration, transformation, and governance. You will be responsible for ensuring that the AI Product & Delivery team has access to high-quality, well-structured data, compliant with regulatory and organisational standards. You will collaborate with Data Scientists, Product Leads, and Solution Architects, as well as stakeholders across Operations, Risk, Compliance, and IT, to ensure data flows seamlessly and securely from source systems to AI applications. This position offers the opportunity to work on complex, high-impact data problems in one of the most data-rich and highly regulated industries, enabling the adoption of AI solutions that transform the property transaction ecosystem. Key Responsibilities Data Pipeline Development Design, build, and maintain scalable ETL/ELT pipelines for internal and client data sources. Ensure data is ingested, transformed, and stored in a secure and efficient manner. Implement monitoring and alerting for data pipeline performance. Data Quality and Governance Establish and enforce data quality standards, including validation and cleansing processes. Ensure compliance with GDPR, FCA, PRA, and internal data governance policies. Maintain metadata, lineage, and documentation for all data assets. Collaboration with Data Science and AI Teams Partner with Data Scientists to provision training, evaluation, and inference datasets. Support MLOps Engineers by ensuring reliable data flows into production models. Collaborate with Knowledge Graph Engineers (where applicable) to design entity and relationship data structures. Integration and Interoperability Integrate data from diverse sources such as conveyancing systems, lender LOS, HMLR APIs, and credit/KYC providers. Ensure alignment with industry data standards (e.g., OPDA, PDTF). Design APIs and data contracts that enable interoperability across internal and client systems. Performance and Optimisation Monitor data infrastructure performance, ensuring pipelines are reliable and cost-efficient. Optimise data storage and query performance for large-scale property and mortgage datasets. Recommend tools and frameworks to improve scalability and resilience. Key Skills and Qualifications Strong skills in SQL, Python, and modern data pipeline frameworks. Experience with cloud data platforms (e.g., AWS, Azure, GCP). Solid understanding of data governance, quality, and regulatory requirements. Strong problem-solving and debugging skills in complex data environments. Experience designing APIs and data contracts for interoperability. Familiarity with data visualisation and reporting tools advantageous. Qualifications and Experience 4+ years’ experience as a Data Engineer, ideally in BFSI, legal tech, or PropTech. Proven track record of building and maintaining scalable data pipelines. Experience integrating data from multiple complex systems. Familiarity with the UK property, mortgage, or conveyancing data landscape desirable. Degree in Computer Science, Data Engineering, or related field advantageous. Job Type: Fixed term contractContract length: 6 months Pay: £400.00-£500.00 per day Work Location: In person