Data Software Engineer

Overview

You'll be joining a global leader in real estate services and technology solutions. Known for combining deep market expertise with cutting-edge innovation, this business is committed to modernising how property and investment decisions are made. You'll be part of a collaborative, forward-thinking environment that values creativity, accountability, and growth-where your contributions will directly shape the future of real estate technology.

Responsibilities

• Architect, build, and optimise scalable ETL pipelines for diverse datasets.
• Onboard, document, and curate external datasets for internal use.
• Perform data validation, forensic analysis, and troubleshooting.
• Deliver high-quality, maintainable Python code and participate in peer reviews.
• Collaborate with stakeholders and researchers to support analytics and product development.
• Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet).
• Join geospatial datasets with external data sources and apply complex transformations.
• Define validated data schemas and create clear documentation for partners and teams.
• Explore and evaluate new data engineering tools and technologies.

Qualifications

• 5+ years' experience in data engineering, analytics, or related roles.
• Strong proficiency in Python, with demonstrated experience on large-scale projects.
• Solid understanding of algorithms, data structures, and relational databases.
• Experience with test-driven development and Git version control.
• Portfolio of past work (GitHub contributions, open-source, blogs, or demos).
• Knowledge of data cleansing, validation, and basic statistics.
• Background in working with Agile methods and fast iteration cycles.
• Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).

This role places you at the heart of building a next-generation residential property management platform. You'll lead the implementation of the Qube/MRI suite of products and other core technologies, ensuring seamless configuration, integration, and optimisation. From system design to AI-driven automation, you'll create workflows and reporting tools that deliver efficiency, compliance, and accuracy as the business scales at pace.

Role Overview: In this role, you will provide strategic leadership for complex, high-profile real estate programmes across the UK and EMEA. Responsible for the full programme lifecycle, you will translate business strategies into measurable outcomes, ensuring robust governance, effective stakeholder engagement, and the application of best practice across all initiatives.

Role Summary: This is your chance to blend deep real investment management knowledge with powerful analytical tools, shaping digital solutions for some of Europe's top real estate firms. With genuine flexibility, significant autonomy, and continuous professional growth, you will directly influence the future of real estate technology.

This role places you at the core of transforming how real estate data is captured, processed, and applied. You'll architect and maintain scalable data pipelines, integrate diverse datasets, and enable insights that drive decision-making across the business. Working with stakeholders, researchers, and product teams, you'll ensure that data infrastructure is robust, efficient, and built for innovation.