Senior Backend Software Engineer – Data Migration Platform

🕒 il y a 21 jours

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Dwelly

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2023

💼 Conseil

📦 Logistique

🏨 Hôtellerie

💰 Seed en 2024-05

Consulting • Logistics • Hospitality

Dwelly est une plateforme spécialisée dans les acquisitions et la planification de succession pour les agences de location indépendantes au Royaume-Uni. Elle propose des évaluations gratuites, des offres monétaires compétitives et des accords de sortie sur mesure tout en préservant l'image de marque des agences et la relation avec les clients. Dwelly mène un processus de diligence raisonnable transparent et collaboratif et utilise la technologie et l'IA pour moderniser les opérations après l'acquisition, permettant ainsi aux propriétaires de quitter l'entreprise de manière fluide et rentable.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.