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- Tasks: Lead data engineering projects in a fast-paced financial environment, focusing on high-impact results.
- Company: Join a dynamic team in the heart of London, specialising in financial markets.
- Benefits: Enjoy a competitive day rate and hybrid working options for better work-life balance.
- Why this job: Make a real impact in financial markets while working with cutting-edge technology like Azure and Databricks.
- Qualifications: Proven experience as a Lead Engineer in Financial Markets with advanced skills in Scala/Spark.
- Other info: This is a contract role outside IR35, perfect for those seeking flexibility.
Location: London City (Hybrid, 2-3 days in office)
Rate: £525 per day
Contract: Outside IR35
We're seeking an exceptional Data Engineering Lead with deep Financial Markets experience to join a clients team. This is a contract role for a specialist who can deliver high-impact results in fast-paced financial environment.
The ideal candidate brings:
- Years of experience as a Lead Engineer with proven delivery record
- Experience working in Financial Markets (preferably sell-side)
- Deep expertise in Azure Data Engineering and Databricks
- Experience with Data Quality, Metadata Management and Data Architecture
- Advanced Scala/Spark skills for complex ELT processes
Selection Process:
- Candidates will complete a Technical Data Task: hands-on Scala/Spark test focusing on ELT capabilities
- 15min discussion to explain your approach and reasoning
Data Engineer Lead - Financial Markets - Day rate contract employer: Vermillion Analytics
Contact Detail:
Vermillion Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Lead - Financial Markets - Day rate contract
✨Tip Number 1
Brush up on your Scala and Spark skills, as you'll likely face a hands-on test during the selection process. Practising complex ELT processes will help you demonstrate your expertise effectively.
✨Tip Number 2
Familiarise yourself with Azure Data Engineering and Databricks, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects to showcase your skills in these areas.
✨Tip Number 3
Prepare to discuss your previous experiences in Financial Markets, especially on the sell-side. Be ready to share specific examples of how you've delivered high-impact results in fast-paced environments.
✨Tip Number 4
Understand the importance of Data Quality, Metadata Management, and Data Architecture in your role. Being able to articulate your approach to these aspects will set you apart during the discussion phase of the selection process.
We think you need these skills to ace Data Engineer Lead - Financial Markets - Day rate contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Lead Engineer, particularly in Financial Markets. Emphasise your expertise in Azure Data Engineering, Databricks, and advanced Scala/Spark skills.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the requirements of the role. Mention your proven delivery record and how your background aligns with the fast-paced financial environment.
Prepare for the Technical Task: Familiarise yourself with the technical aspects of the role, especially Scala/Spark ELT processes. Practice hands-on tasks to ensure you can demonstrate your capabilities effectively during the selection process.
Follow Up: After submitting your application, consider sending a polite follow-up email to express your continued interest in the position. This shows enthusiasm and keeps you on their radar.
How to prepare for a job interview at Vermillion Analytics
✨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in Scala and Spark during the technical data task. Brush up on your ELT processes and be ready to explain your thought process clearly.
✨Highlight Financial Markets Experience
Make sure to emphasise your experience in financial markets, particularly if you've worked on the sell-side. Share specific examples of how your work has impacted previous projects in this sector.
✨Discuss Data Quality and Architecture
Since the role requires deep knowledge in data quality and architecture, be ready to discuss your approach to these areas. Prepare examples of how you've managed metadata and ensured data integrity in past roles.
✨Prepare for the Discussion
The 15-minute discussion is your chance to shine. Practice explaining your approach to the technical task succinctly, focusing on your reasoning and decision-making process. This will show your analytical skills and ability to communicate effectively.
