Finance Data Engineer — End-to-End Pipelines (Hybrid, London)

Finance Data Engineer — End-to-End Pipelines (Hybrid, London)

Full-Time 70000 - 95000 £ / year (est.) No working from home possible
Oscar

At a Glance

  • Tasks: Build and maintain robust data pipelines for financial applications.
  • Company: Dynamic financial data solutions provider in London.
  • Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
  • Why this job: Join a team making a real impact in the finance sector with cutting-edge data solutions.
  • Qualifications: Mid-level experience in data engineering and strong data quality skills.

The predicted salary is between 70000 - 95000 £ per year.

A financial data solutions provider is seeking a mid-level Data Engineer to join their dynamic team in London. This hybrid role offers a competitive salary ranging from £70,000 to £95,000, depending on experience.

The successful candidate will be responsible for building and maintaining robust data pipelines and ensuring data quality across various financial applications. Opportunities for professional growth and involvement in core data infrastructure initiatives will be provided.

Finance Data Engineer — End-to-End Pipelines (Hybrid, London) employer: Oscar

Join a forward-thinking financial data solutions provider in London, where innovation meets opportunity. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee development ensures you can grow your skills and advance your career. With competitive salaries and a focus on building robust data infrastructure, we offer a rewarding environment for those looking to make a meaningful impact in the finance sector.

Oscar

Contact Details:

Oscar Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Finance Data Engineer — End-to-End Pipelines (Hybrid, London)

Tip Number 1

Network like a pro! Reach out to current employees in the finance data sector on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your previous projects related to data pipelines. This will help us see your hands-on experience and problem-solving abilities.

Tip Number 3

Ace the interview by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re genuinely interested in joining our team.

We think you need these skills to ace Finance Data Engineer — End-to-End Pipelines (Hybrid, London)

Data Engineering
Data Pipeline Development
Data Quality Assurance
Financial Applications Knowledge
Data Infrastructure Management
Problem-Solving Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in building and maintaining data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Finance Data Engineer position and how you can contribute to our team. Keep it concise but impactful.

Showcase Your Technical Skills:We’re looking for someone who knows their way around data engineering tools and technologies. Be sure to mention any specific tools or programming languages you’ve worked with that are relevant to the role.

Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Oscar

Know Your Data Pipelines

Make sure you brush up on your knowledge of data pipelines, especially in a financial context. Be ready to discuss your experience with building and maintaining these systems, as well as any specific tools or technologies you've used.

Showcase Your Problem-Solving Skills

Prepare to share examples of challenges you've faced in previous roles and how you overcame them. This is particularly important in a data engineering role where ensuring data quality is key.

Understand the Financial Landscape

Familiarise yourself with the financial applications relevant to the company. Being able to speak intelligently about how data impacts financial decisions will set you apart from other candidates.

Ask Insightful Questions

Prepare thoughtful questions about the company's data infrastructure initiatives and opportunities for professional growth. This shows your genuine interest in the role and helps you assess if it's the right fit for you.