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- Tasks: Design and maintain data pipelines, APIs, and queries for financial intelligence.
- Company: Join Intropic, a dynamic startup in London's financial hub.
- Benefits: Opportunity for massive impact, collaborative culture, and innovative projects.
- Other info: Fast-paced environment with a focus on integrity and continuous learning.
- Why this job: Be part of a team transforming complex data into actionable insights.
- Qualifications: Experience with SQL, Python, and scalable data processing.
The predicted salary is between 36000 - 60000 £ 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/User 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.
- Experience with PostgreSQL query performance optimisation.
- Experience with relational databases, Python web API, automated testing and data pipeline design are desirable.
- Experience with Single Page Application web UI development.
- Experience ensuring data quality, integrity, and performance.
- Hands‑on experience with financial data sources (e.g., Bloomberg, Refinitiv).
- Experience with bitemporal record keeping.
Data Engineer employer: Intropic
Contact Detail:
Intropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PostgreSQL and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s tech stack. Be ready to discuss how you can contribute to their goals, especially around data processing and financial intelligence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! Share examples of how you've tackled challenges or explored new technologies. We love seeing candidates who are eager to learn and innovate.
Be Clear and Concise: Keep your application straightforward and to the point. Highlight your relevant experience with SQL, Python, and data pipelines without fluff. We appreciate clarity, so make it easy for us to see why you're a great fit!
Tailor Your Application: Make sure to customise your application for the Data Engineer role at Intropic. Mention specific skills from the job description, like PostgreSQL optimisation or automated testing, to show that you understand what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Intropic
✨Know Your Tech Stack
Familiarise yourself with PostgreSQL, Python, and AWS services like Step Functions and Lambdas. Be ready to discuss how you've used these technologies in past projects, especially in relation to data processing and building APIs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Intropic values curiosity and innovation, so think about times when you’ve had to think outside the box to deliver a solution or improve a process.
✨Understand Financial Data
Brush up on your knowledge of financial data sources and concepts. If you have experience with tools like Bloomberg or Refinitiv, be sure to highlight that. Showing an understanding of how data can drive investment decisions will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's culture, the team dynamics, and how they approach data challenges. This shows your genuine interest in the role and helps you assess if it's the right fit for you.