Dwelly
About Dwelly Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring revenue-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. The company seamlessly integrates AI services to automate all business processes within brick-and-mortar real estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business. We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations. Position Summary We are looking for a Senior Backend Engineer to build Dwelly’s internal Data Migration Platform — a system that connects to legacy CRMs, extracts and validates agency data, handles exceptions, and imports it safely into Dwelly’s core platform. This role goes beyond standard backend API development. You will build production systems around messy CRM data, external integrations, validation logic, migration workflows and operational edge cases. Your mission is to make every new agency migration faster, safer, more repeatable and less dependent on manual work. What You’ll Do Build an application that connects to external CRM systems used by acquired agencies, extracts relevant data, and prepares it for migration into Dwelly. Work with APIs, exports, files, databases and poorly documented legacy systems. Design workflows for cleaning, mapping, normalising, deduplicating, and validating complex CRM data before it enters Dwelly's core platform. Build safe import flows with retries, audit logs, dry runs, error handling and manual review where needed. Work with entities such as landlords, tenants, properties, tenancies, payments and maintenance records. Use LLM APIs pragmatically for schema mapping, data classification, entity matching, exception triage and quality checks. Own the platform end to end: architecture, implementation, testing, deployment and production support. Work closely with engineering, product, operations and integration teams. What We’re Looking For Strong backend engineering experience with Python . Strong practical SQL skills. Experience with data migration, ETL/ELT, data processing, system integrations or internal tools. Production experience with FastAPI, Django, Flask or similar. Experience integrating with external APIs and third-party systems. Ability to work with messy, inconsistent or poorly documented datasets. Good understanding of data modelling, mapping, validation, deduplication and safe import patterns. Good understanding of database transactions, data consistency and production data workflows. Experience with Linux, Docker and containerised development. Practical experience using AI coding tools and/or LLM APIs. Strong ownership mindset and ability to deliver independently under ambiguity. Clear communication and ability to work closely with non-engineering stakeholders.
Experience with CRM systems, property management systems, fintech, payments or operations platforms. Experience with fuzzy matching, entity resolution, confidence scoring or duplicate detection. Experience building internal tools for operations, integrations or migration workflows. Experience with observability, logging, monitoring and CI/CD. Experience testing applications against complex or high-volume datasets. Experience with typed languages such as Java, C#, C++, Kotlin, Scala or similar. Experience using LLMs for schema mapping, data classification, data extraction or workflow automation. What Success Looks Like Newly acquired agencies can be migrated faster and with fewer manual steps. CRM data can be extracted, validated and imported in a repeatable way. Data quality issues are detected early and handled safely. The migration process becomes more automated, auditable and scalable over time. Operations and engineering teams have better visibility and control over migration progress. Compensation & Benefits: Fully remote role. Competitive compensation based on experience and impact. Opportunity to work on high-leverage automation systems at the intersection of backend engineering, applied ML, data and real operational workflows. Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success. What is it like being a Dwell-er? Feel free to check out Dwelly Core Principles . That’s about what we believe in, how we operate and make decisions. What we offer is not a fancy office or a static workplace. Instead, this is about solving one of the world’s most complex problems in the largest consumer industry in the world: residential rentals. More than 30% of households live in rental homes — over 5 million in the UK and more than 100 million across the EU and US. Our mission is to improve that experience through technology, automation and operational excellence. This is about disrupting one of the largest and most antiquated industries in the world with one of the strongest operational and technical teams in the UK and Europe. We work hard, and we aim for extremely ambitious results. We want people to be proud of what they’ve built and to one day look back and say: “Hell yeah, that was me that did it.” Our Principles Customer obsession rather than competitive focus Passion for invention Operational excellence Long-term thinking By applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws.