Accurate, scalable and repeatable Data Engineering is essential for delivering high performance, analytical software applications. Data engineering involves the design, development, and management of data infrastructure and systems to support data-driven applications and analytics. It focuses on the extraction, transformation, and loading (ETL) of data from various sources, data integration, data storage, and data processing at scale. Data engineers work to ensure data quality, reliability, and accessibility for use in business intelligence, machine learning, and other data-driven initiatives. We leverage the latest best practice techniques, cutting edge data processing technologies and open source frameworks to deliver outstanding data pipelines, databases and APIs. This enables us to integrate raw, disparate financial and sustainability data into rich applications for screening, risk management, portfolio construction and a wide range of other requirements. We've won awards, Innovation grant funding and participated in leading green accelerators - we're proud of our status as a recognised thought leader and innovator in the field of sustainable fintech. If you are looking to integrate ESG data into your processes at scale, we can help.