At a Glance
- Tasks: Build and maintain systems that turn raw market data into actionable insights.
- Company: Join Aquis, a forward-thinking company in the financial tech space.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for rapid career growth.
- Other info: Dynamic team environment with a focus on innovation and equal opportunities.
- Why this job: Gain hands-on experience with real-world financial datasets and cutting-edge data engineering skills.
- Qualifications: Degree in a quantitative field or relevant experience; strong SQL and Python skills required.
The predicted salary is between 30000 - 40000 £ per year.
Aquis maintains a presence in both the UK and EU (primarily Paris). Aquis operates a hybrid working environment with a mixture of office and working from home days. In London we currently operate a minimum of 3 days working in the office.
Job Overview: Execution consulting is a core capability of the Aquis Markets sales team, enabling us to deliver data-driven insights through quantitative analysis, product recommendations, and product innovation. We are looking for a junior data engineer to further develop the current data infrastructure that powers this function — helping our team deliver world‑class analysis to clients at scale. This is an excellent opportunity for a recent graduate or early‑career engineer to grow quickly. You'll gain direct exposure to European equity market structure, work with real‑world financial datasets, and develop practical skills in data engineering that are highly valued across the industry.
Responsibilities And Duties:
- Assist in building and maintaining systems that transform raw market data into actionable insights for Aquis and our trading members.
- Support the development of data pipelines and analytical frameworks to accelerate trade analytics delivery.
- Contribute to our understanding of Aquis market microstructure and the broader European equity landscape.
- Help provide clean, reliable data to management to inform strategic decision‑making.
- Identify opportunities to automate manual or repetitive processes across the team.
Required Skills/Experience:
Essential:
- A degree in Computer Science, Mathematics, Engineering, or a related quantitative subject — or up to one year of relevant work experience.
- Solid foundation in SQL and Python (academic projects and personal work count).
- Understanding of data structures, pipelines, and how data moves between systems.
- Curiosity about financial markets and a willingness to learn market‑specific concepts on the job.
- Strong attention to detail and a methodical approach to problem‑solving.
Nice to haves:
- Any exposure to data pipeline tools (Airflow, dbt, Spark, or similar) — even from coursework or side projects.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- An interest in equity markets, trading, or financial data.
- Experience working with large datasets, even outside a professional context.
- Innovative problem solver with the ability to quickly identify and understand issues.
- Must possess strong communication, writing, analytical, quantitative and research skills.
The statements included in this job description are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required.
Equal opportunities at Aquis Exchange. We are an equal‑opportunities employer. All applicants will receive consideration for employment without regard to race, gender, colour, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Junior Data Engineer employer: Aquis Exchange
Aquis is an exceptional employer for aspiring data engineers, offering a dynamic hybrid working environment in London that fosters collaboration and innovation. With a strong focus on employee growth, you will have the opportunity to work with real-world financial datasets and gain invaluable insights into European equity markets, all while being part of a supportive team that values diversity and equal opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨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 Aquis Exchange 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 Aquis Exchange.
✨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 Aquis Exchange.
✨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 Aquis Exchange’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
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Aquis Exchange, 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 Aquis Exchange 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 Aquis Exchange
✨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!
