At a Glance
- Tasks: Design and build data pipelines while collaborating with data scientists and engineers.
- Company: Dynamic investment firm focused on innovative data solutions.
- Benefits: Competitive bonus, private medical insurance, and fun team events.
- Other info: Exciting opportunities for growth and learning in a collaborative environment.
- Why this job: Join a cutting-edge team and make an impact in the finance world.
- Qualifications: Experience in data engineering, Python proficiency, and strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a hands-on Data Engineer / Backend Engineer to help build and evolve the data infrastructure that supports our credit and broader investment businesses. This role will sit at the intersection of data engineering, backend development, and business problem-solving, with a strong focus on reliability, scalability, and enabling better data access across the firm. You’ll work closely with data scientists, engineers, and business stakeholders to design practical solutions that improve how we ingest, process, transform, and use data. A genuine interest in credit markets and financial data will help you thrive in the role.
Responsibilities
- Design, build, and maintain robust data pipelines to ingest, process, and transform structured and unstructured data from multiple sources.
- Develop and manage ETL workflows to ensure data is delivered accurately and on time to target systems.
- Build and improve backend services, APIs, and data workflows that support the wider platform.
- Monitor data quality, availability, and reliability, and proactively resolve issues as they arise.
- Help evolve the data platform into clear, self-service tools that enable teams across the business to access and use data independently.
- Work closely with data scientists, engineers, and business teams to understand requirements and deliver practical data solutions.
- Build knowledge across a range of credit asset classes to support data modelling and business insights.
- Leverage AI coding tools (Claude, etc.) for brainstorming and development, as these tools have become critical for productivity.
Qualifications
- Strong hands-on experience in data engineering, backend development, or a closely related technical role.
- Proficiency in Python, with additional experience in at least one other programming language such as Go, Java, C#, or C++.
- Strong SQL skills and good working knowledge of relational databases, ideally MySQL.
- Experience building data pipelines, APIs, and data ingestion processes from external sources.
- Familiarity with Git/GitLab and modern development practices.
- Interest in finance, financial data, or credit markets.
- Strong communication skills, curiosity, and a proactive, problem-solving mindset.
- Ability to show previous work through projects, repositories, or other tangible examples.
Benefits
- Competitive bonus scheme.
- Private Medical Insurance.
- Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls.
- Team lunches, dinners, Friday drinks, team sport activities.
Data Engineer employer: Fasanara Capital Ltd
Join a dynamic and innovative team as a Data Engineer, where you'll play a crucial role in shaping the data infrastructure that drives our credit and investment businesses. We pride ourselves on fostering a collaborative work culture that encourages professional growth through regular knowledge sharing sessions and team events, all while offering competitive benefits like a bonus scheme and private medical insurance. Located in a vibrant area, our company not only values your contributions but also supports your passion for finance and data, making it an excellent place for meaningful and rewarding employment.
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 on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and backend services. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you can solve their specific problems with your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience in data engineering and backend development, and don’t forget to mention your proficiency in Python and SQL!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our needs. Show us your genuine interest in credit markets and financial data.
Showcase Your Projects:We love seeing what you can do! Include links to your projects or repositories that demonstrate your skills in building data pipelines, APIs, or any relevant work. This gives us a tangible sense of your capabilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Fasanara Capital Ltd
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data engineering concepts and practices. Be ready to discuss your experience with building data pipelines and ETL workflows, as well as any specific projects you've worked on that relate to the role.
✨Showcase Your Coding Skills
Since proficiency in Python and other programming languages is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with using AI coding tools to enhance your productivity.
✨Understand the Business Context
Familiarise yourself with credit markets and financial data. Being able to connect your technical skills to real-world business problems will impress the interviewers. Think about how your work can impact the company's investment strategies and data accessibility.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the data platform's evolution, and how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
