Lead data Engineer - Financial Markets - Day rate
Lead data Engineer - Financial Markets - Day rate

Lead data Engineer - Financial Markets - Day rate

London Freelance No home office possible
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At a Glance

  • Tasks: Lead data engineering projects in the fast-paced financial markets sector.
  • Company: Join a dynamic team in London's bustling financial district.
  • Benefits: Enjoy a competitive day rate and flexible remote work options.
  • Why this job: Perfect for those seeking impactful work in a collaborative environment.
  • Qualifications: Extensive experience in data engineering, financial markets, and advanced Scala/Spark skills required.
  • Other info: Contract role outside IR35 with a straightforward selection process.

Thrilled to announce a fantastic opportunity for a Data Engineering Lead - Financial Markets Specialist!

Location: London

Rate: £525 per day

Contract: Outside IR35

The Role

We are on the lookout for a stellar Data Engineering Lead with solid experience in Financial Markets. This contract role is perfect for someone who can deliver high-impact results quickly.

Why This Role is Ideal for You

Imagine working in the heart of London’s financial district, balancing remote work with the dynamism of in-office collaboration! Plus, it’s outside IR35.

Your Profile

  • Extensive Experience as a Lead Engineer: Proven track record of delivering complex data projects.
  • Financial Markets Expertise: Essential experience in Financial Markets, preferably on the sell-side.
  • Azure Data Engineering and Databricks Mastery: Crucial expertise in these platforms.
  • Data Quality, Metadata Management, Data Architecture: Highly valued proficiency.
  • Advanced Scala/Spark Skills: Necessary for complex ELT processes.

Selection Process

To find the best fit, candidates will undergo:

  • Technical Data Task: Hands-on Scala/Spark test focused on ELT capabilities.
  • Discussion: A 15-minute chat to explain your approach and reasoning.

This role is perfect for a Data Engineering Lead ready to take on a rewarding challenge. If you have the skills and experience described above, drop me a message or apply.

Lead data Engineer - Financial Markets - Day rate employer: Vermillion Analytics

Join a leading firm in the heart of London’s financial district, where innovation meets opportunity! As a Data Engineering Lead, you will thrive in a dynamic work culture that values collaboration and flexibility, offering competitive day rates and the chance to work outside IR35. With a strong focus on employee growth, you’ll have access to cutting-edge projects and the support needed to advance your career in the fast-paced world of financial markets.
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Contact Detail:

Vermillion Analytics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead data Engineer - Financial Markets - Day rate

✨Tip Number 1

Familiarise yourself with the latest trends and technologies in Financial Markets, especially focusing on Azure Data Engineering and Databricks. This knowledge will not only help you during the technical task but also demonstrate your commitment to staying current in the field.

✨Tip Number 2

Prepare for the hands-on Scala/Spark test by working on sample ELT processes. Practising real-world scenarios will boost your confidence and showcase your problem-solving skills during the selection process.

✨Tip Number 3

During the 15-minute discussion, be ready to articulate your thought process clearly. Practice explaining your approach to data projects, as this will highlight your leadership skills and ability to communicate complex ideas effectively.

✨Tip Number 4

Network with professionals in the Financial Markets sector. Engaging with others in the industry can provide insights into the role and may even lead to referrals, increasing your chances of landing the job with us.

We think you need these skills to ace Lead data Engineer - Financial Markets - Day rate

Lead Engineering Experience
Financial Markets Knowledge
Azure Data Engineering
Databricks Expertise
Data Quality Management
Metadata Management
Data Architecture Skills
Advanced Scala Proficiency
Spark Framework Knowledge
ELT Process Implementation
Problem-Solving Skills
Collaboration and Teamwork
Adaptability to Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your extensive experience as a Lead Engineer, particularly in delivering complex data projects. Emphasise your expertise in Financial Markets and any relevant roles you've held.

Showcase Technical Skills: Clearly outline your proficiency in Azure Data Engineering, Databricks, and advanced Scala/Spark skills. Provide specific examples of how you've used these technologies in past projects to demonstrate your capabilities.

Craft a Compelling Cover Letter: Write a cover letter that connects your experience with the requirements of the role. Discuss your understanding of data quality, metadata management, and data architecture, and how these skills will benefit the company.

Prepare for the Selection Process: Familiarise yourself with the technical data task involving Scala/Spark. Brush up on your ELT capabilities and be ready to discuss your approach during the 15-minute chat, showcasing your problem-solving skills and thought process.

How to prepare for a job interview at Vermillion Analytics

✨Showcase Your Financial Markets Knowledge

Make sure to highlight your experience in financial markets during the interview. Be prepared to discuss specific projects you've worked on and how your expertise can benefit the company.

✨Demonstrate Technical Proficiency

Since the role requires advanced skills in Scala and Spark, brush up on these technologies before the interview. Be ready to explain your approach to complex ELT processes and provide examples of your work.

✨Prepare for the Technical Data Task

Expect a hands-on Scala/Spark test as part of the selection process. Practice similar tasks beforehand to ensure you're comfortable with the technical requirements and can showcase your skills effectively.

✨Communicate Clearly During the Discussion

In the 15-minute chat, focus on articulating your thought process clearly. Explain your reasoning behind decisions and approaches taken in past projects, as this will demonstrate your leadership capabilities.

Lead data Engineer - Financial Markets - Day rate
Vermillion Analytics
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