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For Companies At a Glance
- Tasks: Design and maintain data pipelines for a web-based finance platform.
- Company: Global tech firm in alternative investments and wealth management.
- Benefits: Up to £110k salary, bonus, and flexible working arrangements.
- Why this job: Shape the future of data in finance during a period of rapid growth.
- Qualifications: Strong Python skills and experience with cloud platforms like Azure.
- Other info: Collaborative team environment with opportunities for professional development.
The predicted salary is between 66000 - 77000 £ per year.
We’re working with a global technology business operating within the alternative investments and wealth management space, currently looking to hire a Data Engineer to join their London-based engineering team. This is an exciting opportunity to work on a web-based private markets platform, helping to shape how data is ingested, managed, and surfaced across a complex, regulated domain during a period of rapid growth and transformation.
The role
- Champion strong data architecture and best practices across the engineering team
- Design, build, and maintain data ingestion pipelines, integrating data from external partners and administrators
- Own and maintain databases across multiple environments
- Collaborate with engineers and stakeholders to deliver new features and platform functionality
- Write clean, efficient, well-tested, and maintainable code
- Troubleshoot and resolve data quality, reconciliation, and performance issues
- Stay up to date with data engineering trends and share best practices across the team
What we’re looking for
- Strong commercial experience in Data Engineering, with a focus on Python
- Experience working with cloud platforms, ideally Azure, for data processing, storage, and reporting
- Proven experience designing and working with data stores (relational, dimensional, NoSQL, Delta, etc.)
- Familiarity with Git and version control, ideally within Azure DevOps
- Experience working in Agile development environments
- Strong problem-solving and analytical skills, particularly around data quality and reconciliation
Nice to have
- Exposure to web technologies such as TypeScript, React, or Node.js
- Experience within financial services or regulated environments
- Experience with data reporting and BI tools (e.g. Power BI)
3 days onsite weekly in Central London
If you're interested, please apply here or email will.semple@oliverbernard.com
Data Engineer - Finance - Up to £110k + bonus employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Finance - Up to £110k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data engineering sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and cloud platforms like Azure. 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 approach to data quality and reconciliation issues. Remember, they want to see how you think, not just what you know!
✨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 are proactive about their job search. So, hit that apply button and let’s get you started on this exciting journey!
We think you need these skills to ace Data Engineer - Finance - Up to £110k + bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, cloud platforms like Azure, and any relevant data architecture projects. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Don't forget to mention any experience in financial services or regulated environments if you have it!
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's building data pipelines or troubleshooting data quality issues, we love seeing real examples of your work that demonstrate your problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team in London. Don’t miss out on this opportunity!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around Python and cloud platforms like Azure. Be ready to discuss how you've designed and maintained data ingestion pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical skills, particularly in resolving data quality and reconciliation issues. Think of specific challenges you've faced and how you tackled them—this will impress the interviewers.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in Agile environments, be prepared to discuss your experience with Agile practices. Share how you've collaborated with teams to deliver features and functionality effectively.
✨Stay Updated on Industry Trends
Demonstrate your passion for data engineering by discussing recent trends or technologies you've been following. This shows you're proactive and committed to continuous learning, which is crucial in a rapidly evolving field.
