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- Tasks: Design and implement scalable data pipelines and backend services.
- Company: Join a fast-growing market maker transforming financial data infrastructure.
- Benefits: Competitive salary, private healthcare, and exciting team events.
- Why this job: Be part of a high-impact team redefining financial markets for everyone.
- Qualifications: 2+ years as a Data Engineer, proficient in Python, strong problem-solving skills.
- Other info: Great career development opportunities in a supportive culture.
The predicted salary is between 36000 - 60000 £ per year.
We are partnering with a rapidly growing market maker, creating more transparent and accessible financial markets for all types of investors. This is a high-impact opportunity to be part of a company redefining financial data infrastructure from the ground up.
Responsibilities:
- Design and implement scalable, high-performance data pipelines
- Develop backend services and APIs to support data processing and analytics
- Build integrations with external vendors and market data providers
Tech Stack:
- Python
- AWS (Lambda, ECS, CloudFormation, S3)
- GitHub Actions (CI/CD)
- Vue.js (optional frontend involvement)
Requirements:
- 2+ years’ experience as a Data Engineer or Backend Engineer
- Proficiency in Python
- Experience with Java server side/UI components
- Strong problem-solving skills and the ability to work independently
- Experience in a start-up or high-growth environment is a plus
Benefits:
- Competitive base salary with performance-based bonus
- Private healthcare and life insurance
- Regular team events, social activities, and a supportive culture
- Career development opportunities in a growing tech-driven business
Data Engineer in City of London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with data pipelines and backend services. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer or Backend Engineer. We want to see how your skills in Python and Java align with our needs, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background fits into our mission of redefining financial data infrastructure. Keep it personal and engaging!
Showcase Problem-Solving Skills: We love problem solvers! In your application, share examples of challenges you've faced in previous roles and how you tackled them. This will help us see your independent working style and innovative thinking.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Durlston Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS. Brush up on your knowledge of data pipelines and backend services, as these will likely be key discussion points during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in your previous roles. Think about challenges you've faced as a Data Engineer or Backend Engineer and how you approached them. This will demonstrate your ability to think critically and work independently.
✨Familiarise Yourself with the Company’s Mission
Understand the company’s goal of creating transparent financial markets. Be ready to discuss how your skills can contribute to this mission and why you’re excited about being part of a team that’s redefining financial data infrastructure.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their tech stack, team dynamics, and growth opportunities. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
