At a Glance
- Tasks: Design and build innovative data pipelines for AI-driven trading solutions.
- Company: Join a pioneering team in financial services redefining AI and cloud-native platforms.
- Benefits: Competitive salary, creative freedom, and visibility in a high-impact team.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a direct impact on trading strategies with cutting-edge technology.
- Qualifications: 5-10 years in data engineering, strong Python skills, and AWS experience.
The predicted salary is between 60000 - 84000 £ per year.
About the Role
Join a pioneering team that's redefining how AI and cloud-native platforms power front-office trading. We're hiring a hands-on Data Engineer to help shape the future of our platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not a standard engineering role. You'll work closely with front‐office traders and quantitative developers, focusing on the data engineering required to design, build, and operate bespoke generative AI and agent‐based systems used directly in trading workflows. The work you do will have a measurable impact on how strategies are developed, tested, and executed. If you're motivated by building novel, production‐grade systems at the leading edge of technology, this role gives you the scope to do exactly that.
What You’ll Do
- You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:
- Design, build, and maintain robust data pipelines for batch and streaming workloads, ensuring high data quality, reliability, and observability across cloud and on‐prem platforms.
- Model, store, and serve large‐scale datasets optimised for analytics, machine learning, and low‐latency consumption by AI‐driven trading systems.
- Build and optimise real‐time and near‐real-time data pipelines using Databricks and streaming technologies to ingest, process, and serve high‐volume market and trading data at scale.
- Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes.
- Contribute to best practices for agent‐based system infrastructure and mentor junior engineers when needed.
- Work across organisational boundaries and champion modern engineering trends.
- Stay ahead of the curve in agent‐based systems, AI infrastructure, and cloud-native tooling.
- Architect and develop cutting-edge platform services for AI-driven trading.
Tech Stack
- Programming: Python
- AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and Databricks
- On-Prem: Managed Kubernetes Platform and Hadoop ecosystem.
What we are looking for
- 5 – 10 years of experience in data engineering, ideally in platform or infra roles.
- Strong programming skills in Python; passion for code quality and testing.
- Experience with Databricks or similar tools.
- Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation).
- Experience working in a fast-paced environment in either engineering or analytical roles.
- Passion for being hands-on and contributing to a collaborative engineering culture.
Direct Impact: Be part of a team building agent‐based systems that traders and quants use daily to optimise strategies.
Creative Freedom: Open collaboration and the chance to bring your ideas to life.
Visibility: Be a big player in a small, high-impact team with exposure across the organisation.
Nice to Have
- Experience with on-prem Hadoop and Kubernetes.
- Familiarity with AWS cost management and optimisation tools.
- Knowledge of front-office developer workflows in financial services.
AI Data Engineer - Financial Services in Glasgow employer: Caspian One
Join a dynamic and innovative team in London as a Senior Full Stack Developer, where you'll have the opportunity to work on cutting-edge front-end technologies in a hybrid work environment. Our company fosters a collaborative culture that values continuous learning and professional growth, offering competitive rates and the chance to make a significant impact in the financial services sector. With a focus on high-performance UIs and a commitment to excellence, we provide a rewarding workplace for those looking to advance their careers while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Engineer - Financial Services in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Caspian One!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Data Engineer - Financial Services at Caspian One.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Caspian One.
✨Apply Directly through Our Website
When you find a suitable opening like AI Data Engineer - Financial Services at Caspian One, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Data Engineer - Financial Services in Glasgow
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Caspian One, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Caspian One. 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 Caspian One
✨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!
✨Showcase Your Projects
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 Caspian One!
✨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.
