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- Tasks: Build and maintain data integration pipelines for alternative commodity and macro data.
- Company: Leading global quant firm with a vibrant start-up culture.
- Benefits: Competitive salary, bonuses, private medical, and career progression opportunities.
- Why this job: Join a dynamic team and make a significant impact in the data engineering field.
- Qualifications: 3+ years as a Data Engineer, proficient in Python, ETL/ELT pipelines, and data analytics tools.
- Other info: Ideal for experienced professionals; fresh graduates need not apply.
The predicted salary is between 72000 - 120000 £ per year.
Leading global quant firm is looking for a pragmatic data engineer with experience of ETL/ELT pipelines to join the Vendor Data Group. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player.
You will be joining a very dynamic environment offering exposure to all aspects of the firm, as you collaborate with one of the trading teams to build and maintain mission-critical data integration pipelines and associated tools for alternative commodity and macro data. You’ll develop scalable data architectures and enhance data processing while optimizing workflows. Here, technology is viewed as crucial to their continued success. The successful Senior Data Engineer will be passionate about data accuracy, and able to solve difficult technical problems in a real-time environment.
Requirements
- At least 3+ years’ experience as a Data Engineer
- Proficient in Python development, Devops, and Linux environments
- Expert-level experience in data pipeline development, specifically ETL/ELT pipelines
- Familiarity with data analytics tools and libraries, e.g. Pandas and NumPy
Preferred
- Commodities and Macro alternative/fundamental data experience
- Skilled with relational and non-relational database management
Benefits
- Competitive base salary & bonus
- Enormous opportunity to grow, learn and have a significant business impact
- Contributions are rewarded; career progression supported
- Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes
Whilst we carefully review all applications, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Senior Data Engineer in London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills in real-time! Consider working on a personal project that showcases your ETL/ELT pipeline expertise. Share it on GitHub or during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and data pipeline concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL/ELT pipelines and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used Python, DevOps, and Linux in your previous roles. This helps us understand your practical experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data accuracy and how you’ve tackled technical challenges in real-time environments. We love seeing candidates who are genuinely excited about the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It streamlines the process for us and ensures your application gets to the right people quickly. Don’t miss out!
How to prepare for a job interview at Oxford Knight
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of ETL/ELT pipelines and can discuss your past experiences with them. Be ready to share examples of how you've tackled data accuracy issues or optimised workflows in previous roles.
✨Brush Up on Your Tech Skills
Since this role requires proficiency in Python, DevOps, and Linux, ensure you can demonstrate your skills in these areas. Consider preparing a small project or example that showcases your ability to develop scalable data architectures.
✨Familiarise Yourself with the Company’s Focus
Research the firm’s approach to data integration and their specific focus on commodities and macro data. Understanding their business model will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare for Technical Challenges
Expect to face technical questions or even live coding challenges during the interview. Practise common data engineering problems and be ready to explain your thought process clearly, as this will demonstrate your problem-solving abilities in real-time scenarios.
