At a Glance
- Tasks: Build and optimise data systems for quantitative finance, tackling complex engineering challenges.
- Company: Join a high-performing team at the forefront of modern finance technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work on large-scale data processing in a dynamic, innovative environment.
- Why this job: Make a real impact on investment decisions with cutting-edge data technologies.
- Qualifications: Strong background in Computer Science or related fields, with 5-7 years of software engineering experience.
The predicted salary is between 59400 - 72600 £ per year.
Build the data backbone of modern quantitative finance. We're looking for an exceptional Data Engineer to join a high‑performing Data Engineering team working at the core of a quantitative investment environment. This team builds the platforms that power systematic trading strategies, sophisticated research, and real‑time investment decisions. You'll be working on a multi‑petabyte data platform, ingesting and processing billions of datapoints every day from thousands of global data sources—tackling hard distributed systems problems at serious scale. If you enjoy working where engineering excellence directly impacts outcomes, this role is for you.
What makes this role exciting:
- Engineer mission‑critical data systems used directly by researchers and trading teams
- Design and scale platforms handling massive volumes of market, alternative, and research data
- Solve complex challenges across distributed systems, performance, reliability, and scalability
- Work in a modern stack combining Java and Python, with Kafka, ArcticDB, MongoDB, and Linux‑based infrastructure
- Operate close to both cutting‑edge research and production decision‑making
What you’ll be building:
- High‑performance services for data ingestion, storage, versioning, and access
- Scalable, fault‑tolerant data pipelines supporting research and trading workflows
- Platforms optimised for speed, accuracy, and reproducibility at enterprise scale
- Systems where performance, correctness, and engineering discipline truly matter
What you bring:
- A strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar
- 5–7+ years of professional software engineering experience with Java or Python
- Solid experience working in Linux environments and with Git
- Deep understanding of databases such as Iceberg, Postgres, or MongoDB
- A passion for problem‑solving, clean design, and high‑quality engineering
- Confidence working independently, gathering requirements, and collaborating across teams
Nice to have:
- Experience with distributed systems, streaming, or orchestration frameworks
- Hands‑on exposure to large‑scale data processing and performance optimisation
- Contributions to open‑source projects
- Experience working with Large Language Models (LLMs) or AI‑driven tools
Why this role stands out:
This is a chance to work on deep technical problems at extraordinary scale, in an environment that values engineering craft, intellectual curiosity, and real‑world impact. Your work won't sit in the background—instead it will directly shape how data is used to drive investment decisions.
Data Engineer employer: Glocomms
At Glocomms, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Azure Platform Architect, you will have access to continuous professional development opportunities, allowing you to grow your expertise in cloud technologies while working alongside industry leaders in a dynamic environment. Our commitment to employee well-being and a supportive atmosphere makes Glocomms a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Glocomms!
✨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 Data Engineer at Glocomms.
✨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 Glocomms.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Glocomms, 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 Data Engineer
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 Glocomms, 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 Glocomms. 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 Glocomms
✨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 Glocomms!
✨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.
