Delivering powerful capabilities, from products that serve thousands to bespoke systems propelling the Baltic Exchange

Data engineering

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.

Benefit from efficient Data Integration by efficiently integrating vast and diverse datasets related to environmental, social, and governance (ESG) factors. Streamlined data integration enables better-informed sustainable investment strategies and helps identify opportunities for positive environmental and social impact.
Implement scalable data processing to handle massive amounts of data, including real-time market data, climate-related metrics, and ESG performance indicators. Effective Data engineering leveraging the latest AI and LLMs enables the development of scalable data processing architectures that can handle these large datasets efficiently.
By structuring and preparing the data effectively, data engineers enable data scientists and financial experts to extract valuable insights and patterns that support evidence-based sustainable investment strategies. These analytics-driven approaches lead to more accurate risk assessments, improved investment performance, and better alignment with sustainable development goals.
Data engineering

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