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. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. 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. 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. ~ 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).
Senior Software Engineer - Data Engineer in London employer: Cobalt Recruitment
Join a dynamic real estate development and investment management firm in London, where your expertise in equity capital raising will be highly valued. With a lucrative salary and performance-based bonuses, you'll thrive in a high-growth environment that fosters collaboration and innovation among ambitious investors. Our supportive work culture prioritises employee growth, offering unique opportunities to expand your professional network and enhance your skills in a vibrant city known for its financial prowess.
