At a Glance
- Tasks: Support data infrastructure and turn market data into actionable insights.
- Company: A leading equities brokerage known for innovation and integrity.
- Benefits: Gain hands-on experience in a dynamic trading environment with growth opportunities.
- Other info: Join a close-knit team where your ideas are valued and encouraged.
- Why this job: Dive into the world of finance and make a real impact from day one.
- Qualifications: Familiarity with SQL, Python, and a degree in a quantitative field.
The predicted salary is between 30000 - 40000 £ per year.
A well-established equities brokerage is looking to add a Junior Data Engineer to its team. If you're an early-career engineer keen to build hands-on data engineering skills inside a live trading environment, this role offers genuine exposure to real-world financial datasets and European equity market structure from day one.
The Business
Our client provides equities brokerage services across UK and European markets, combining a data-driven sales and execution function with a growing technology capability. Regulated by major financial authorities in the UK and EU, the firm has built its reputation on integrity, reliable performance, and a genuinely innovative approach to client service. It's a close-knit, ambitious environment where new ideas are welcomed and people are encouraged to make a real impact early in their careers.
The Role
Sitting within the execution consulting function, this role supports a team that turns market data into data-driven insights, product recommendations, and innovation for clients. You'll be helping to strengthen the data infrastructure behind that function, enabling the team to scale up the quality and speed of the analysis it delivers.
Responsibilities
- Support the team's understanding of market microstructure across European equities
- Build and maintain systems that turn raw market data into insights the business and its clients can act on
- Spot opportunities across the team to automate manual or repetitive tasks
- Contribute to data pipelines and analytical frameworks that speed up how trade analytics gets delivered
- Make sure management has access to clean, reliable data to support key decisions
What We're Looking For
Essential
- Comfortable working with SQL and Python, whether from academic projects, personal builds, or professional experience
- A methodical mindset with strong attention to detail
- Genuine curiosity about financial markets, and an appetite to pick up market-specific knowledge on the job
- A good grasp of how data structures and pipelines work, and how information flows between systems
- Educated to degree level in a quantitative discipline (Computer Science, Maths, Engineering or similar), or up to a year of relevant work experience instead
Nice to have
- Comfortable working with large datasets, even if that experience comes from outside a formal job
- Some familiarity with a cloud platform - AWS, GCP, or Azure
- A genuine interest in trading, equity markets, or financial data more broadly
- Strong research, analytical, and communication skills
- Any hands-on exposure to tools like Airflow, dbt, or Spark, including through coursework or personal projects
Junior Data Engineer - Equities - London employer: Miller Maxwell
Join a dynamic and innovative equities brokerage in London, where as a Junior Data Engineer, you'll gain invaluable hands-on experience in a live trading environment. The company fosters a collaborative and ambitious work culture, encouraging early-career professionals to make impactful contributions while providing ample opportunities for personal and professional growth. With a commitment to integrity and performance, this firm not only values your input but also supports your development in the fast-paced world of financial data.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer - Equities - London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Miller Maxwell when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Miller Maxwell.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Miller Maxwell.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Miller Maxwell’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer - Equities - London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Miller Maxwell, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Miller Maxwell aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Miller Maxwell
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
