At a Glance
- Tasks: Design and maintain data pipelines and APIs for financial intelligence.
- Company: Join a dynamic team at Intropic, transforming data into actionable insights.
- Benefits: Competitive salary, hands-on experience, and opportunities for rapid career growth.
- Other info: Collaborate directly with clients and enhance product features.
- Why this job: Make a massive impact from day one in a fast-paced, innovative environment.
- Qualifications: Experience with SQL, Python, and scalable data processing.
The predicted salary is between 51750 - 63250 £ per year.
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).
Data Engineer - Index Data Processing employer: Intropic
Intropic is an exceptional employer that fosters a dynamic and collaborative work environment, where employees are empowered to engage directly with founders and contribute to innovative AI-driven solutions. With a flat organisational structure, you will have ample opportunities for professional growth and development, particularly in navigating complex negotiations and bespoke deals within the exciting field of data licensing and partnerships. The company's commitment to modern technology and supportive culture makes it an ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Data Engineer - Index Data Processing
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We think you need these skills to ace Data Engineer - Index Data Processing
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Intropic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Intropic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Intropic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
