Data Engineer

Dwelly is a UK-based, AI-enabled lettings and property management platform that is rapidly growing through acquisitions. They are seeking a Data Engineer to build their data engineering function, focusing on designing and maintaining production data pipelines, optimizing database performance, and ensuring compliance with data protection regulations.

Responsibilities:

• Design and maintain a unified data architecture: database schemas, data models, and micro-architecture solutions to ensure scalability and reliability
• Optimize database performance at all levels: indexing, partitioning, clustering, and tuning configuration parameters
• Ensure full compliance with GDPR, UK Data Protection Act, and other relevant regulations: data masking, consent management, retention policies, and privacy impact assessments
• Optimize queries, schemas, and indexes where needed
• Set up basic data quality checks
• Support GDPR and UK data protection requirements, including:
• Data masking
• Access control
• Retention policies
• Take data notebooks and calculation logic
• Turn them into reliable, production-ready pipelines
• Ensure scalability, reliability, and reproducibility

Requirements:

• Write clean, readable, maintainable code
• Have real experience supporting data pipelines in production
• Have worked with a data warehouse (BigQuery or similar)
• Have strong experience in GCP
• Understand orchestration, monitoring, and performance tuning
• Can make practical engineering decisions independently
• Strong communication skills and fluency in English
• Startup mentality: resilience, adaptability, and ability to thrive in a fast-paced environment
• Customer-centric mindset: focus on delivering value to end-users or clients
• Strong problem-solving skills – ability to approach challenges logically and propose practical solutions
• Experience with AWS, or Azure
• Experience with message queues or distributed systems
• Basic CI/CD for data pipelines