Finance Data Engineer - Greenfield Pipelines, Python in London

Finance Data Engineer - Greenfield Pipelines, Python in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Saragossa

At a Glance

  • Tasks: Build innovative data pipelines and automate processes for exciting greenfield projects.
  • Company: Global private equity firm in London with a dynamic work culture.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate directly with stakeholders and enhance your communication skills.
  • Why this job: Join a cutting-edge team and make a real impact in the finance sector.
  • Qualifications: Strong Python and Databricks skills, plus experience in finance.

The predicted salary is between 60000 - 80000 € per year.

A global private equity firm in London is seeking a Data Engineer to work on exciting greenfield projects. The role involves data integration, building ingestion pipelines, and automation.

The ideal candidate must have strong experience in Python and Databricks, and financial sector experience is crucial for collaborating with investment teams. Excellent communication skills are essential, as you'll be interfacing directly with stakeholders across the business.

Finance Data Engineer - Greenfield Pipelines, Python in London employer: Saragossa

Join a leading global private equity firm in London, where innovation meets opportunity. As a Finance Data Engineer, you'll be part of a dynamic team working on cutting-edge greenfield projects that drive the financial sector forward. With a strong emphasis on employee growth, collaborative work culture, and competitive benefits, this role offers a unique chance to make a meaningful impact while advancing your career in a vibrant city.

Saragossa

Contact Detail:

Saragossa Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Finance Data Engineer - Greenfield Pipelines, Python in London

Tip Number 1

Network like a pro! Reach out to folks in the finance and data engineering space on LinkedIn. A friendly chat can open doors to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data pipelines or financial data. This will give you an edge when chatting with potential employers.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to interface with stakeholders who may not be as technical.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you a better chance of landing that dream job.

We think you need these skills to ace Finance Data Engineer - Greenfield Pipelines, Python in London

Python
Databricks
Data Integration
Building Ingestion Pipelines
Automation
Financial Sector Experience
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and Databricks, especially in the context of finance. We want to see how your skills align with our greenfield projects!

Showcase Communication Skills:Since you'll be working closely with investment teams, it's important to demonstrate your excellent communication skills. Use examples in your application that show how you've effectively collaborated with stakeholders.

Highlight Relevant Experience:If you've worked on data integration or building ingestion pipelines before, make it clear! We love seeing how your past experiences can contribute to our exciting projects.

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 updates from us!

How to prepare for a job interview at Saragossa

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data integration and building ingestion pipelines, as these are key aspects of the role. Practising coding challenges can also help you demonstrate your problem-solving abilities.

Familiarise Yourself with Databricks

Since Databricks is a crucial part of the job, take some time to understand its functionalities and how it integrates with data engineering tasks. You might be asked about your previous projects using Databricks, so having specific examples ready will show your expertise.

Understand the Financial Sector

Given that financial sector experience is essential, make sure you’re up to speed with current trends and challenges in private equity. Being able to discuss how your technical skills can benefit investment teams will set you apart from other candidates.

Communicate Effectively

Excellent communication skills are a must for this role. Prepare to explain complex technical concepts in simple terms, as you'll be interfacing with stakeholders across the business. Practising mock interviews with friends or colleagues can help you refine your communication style.