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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Developer - **Company:** Engelhart - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Database, Databases, Information Engineering, Data Governance, Data Infrastructure, Python (Programming Language), NumPy, SQL Databases, Unstructured Data, Google Cloud, Time Series Databases, Indexer, Data Strategy, Pandas, KDB+, Information Technology, Influxdb, Data Pipelines - **Published:** June 7, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=eeaba17a03c8727d ## About the Role Do you have experience in SQL?, This person will gain direct exposure to real-world trading and macro strategy, collaborating closely with experienced quants and traders. As a result, we believe the following background of experiences and skills will best set up this person for success: * A recent degree in Computer Science, Data Science, Engineering or a related quantitative discipline. * Experience working on market modelling, quantitative research or data-heavy projects (academic or professional). * An understanding of time-series data structures, databases and processing techniques. * Prior exposure to a bank, trading house, hedge fund or physical trading environment is advantageous. * Any trading experience or strong market interest is highly valued. In addition, the following technical skill set will be complimentary: * Experience with SQL and Python. * An understanding of libraries such as pandas, NumPy or similar. * Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus. * Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred. ## Description We have a new opportunity for a technically strong Quantitative Developer to join our growing Global Oil desk in the London office. This role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making. We will provide direct and hands-on mentorship from senior quants and portfolio managers, offering the opportunity to gain insights into hedge fund data strategy and macro trading. The successful candidate will play a key role in building and optimising data infrastructure that supports investment decisions, while developing a strong commercial understanding of financial markets at desk. This will be a full-time role, owning the following responsibilities: * Assisting with the design and implementation of scalable architectures for large time-series datasets (market, economic and alternative data). * Developing and maintaining data pipelines to ingest, clean, and store structured and unstructured datasets. * Improving and optimising data querying, storage formats and indexing to enable efficient analysis. * Managing and enhancing database environments, ensuring high performance and reliability. * Working closely with portfolio managers and traders to ensure data is actionable and aligned with commercial needs. * Identifying opportunities to extract commercial value from data, not just collecting it. * Contributing to data standards, documentation and automation of workflows. * Supporting the development of tools and datasets that directly impact trading strategies and PnL. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Vectorize all the things! 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