Data Engineer - Index Data Processing
London, United KingdomFull-timePosted 1mo agoStill listed 2 days ago
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Job overview
Intropic is building financial intelligence using AI, aggregating data from third‑party and internal sources into a data lake and offering Python HTTP APIs and AWS pipelines. The London‑based team seeks a Data Engineer to design performant PostgreSQL queries, develop scalable pipelines, ensure data quality, and collaborate directly with clients to deliver investment‑focused features.
Skills & qualifications
Skills
Full job description
London UKCompany /Full-Time /On-site
At Intropic, we’re building the future of financial intelligence, where deep market expertise meets the power of AI. Founded in London’s financial centre of Canary Wharf, we exist to transform complex data into clarity, precision, and action. Our culture is shaped by truth-seeking, velocity, and ownership, values that drive how we build, learn, and collaborate every day. We move fast, think independently, and hold ourselves to the highest standards of integrity and impact. Here, curiosity isn’t just encouraged, it’s essential. If you’re driven by challenge, inspired by innovation, and ready to amplify your intelligence alongside a team of exceptional thinkers, Intropic is where your ideas can truly compound.
We are a small team and you will have the opportunity for massive impact from day one. You will collaborate with the team to understand Researcher and Client needs and convert them into working features. You will be expected to take ownership of the features you are working on and maintaining, improving them continually.
What we do
• Aggregate data from 3rd party and internally sourced data into a lake of financial ownership information.
• Provide clear and efficient interfaces to analyse that data, supporting both the company and external clients directly
• The tech stack consists of our PostgreSQL data store, Python HTTP APIs backing the web UI and programmatic consumption, and incoming pipelines as AWS Stepfunctions / Lambdas, and a React based web UI..
• Work directly with clients to expand product features with a focus on how our data can produce investment alpha.
Responsibilities
• Design, build, and maintain performant PostgreSQL queries and datastores for financial data.
• Design, build, and maintain well-tested and production-ready Python HTTP APIs and pipelines.
• Use automated testing to build and own features from conception to deployment.
Requirements
• SQL / data processing experience
• Scalable data pipeline development
• Some experience building effective programmatic interfaces in any language.
Desirables
• Experience with PostgreSQL query performance optimisation
• Experience with Python HTTP, API development, automated testing and data pipeline design.
• Experience ensuring data quality, integrity, and performance
• Hands-on experience with financial data sources (e.g., Bloomberg, Refinitiv)
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