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For Companies At a Glance
- Tasks: Lead data engineering projects in the fast-paced financial markets sector.
- Company: Join a dynamic team in London's vibrant financial district.
- Benefits: Enjoy a competitive day rate and flexible remote work options.
- Why this job: Be part of impactful projects while collaborating with talented professionals.
- Qualifications: Extensive experience in data engineering, financial markets, and advanced Scala/Spark skills required.
- Other info: This contract role is outside IR35, offering great flexibility.
Thrilled to announce a fantastic opportunity for a Data Engineering Lead - Financial Markets Specialist!
Location: London City
Rate: £525 per day
Contract: Outside IR35
The Role
We're 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
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
Brush up on your Scala and Spark skills before the technical task. Make sure you can demonstrate your ELT capabilities clearly, as this will be a key focus during the selection process.
✨Tip Number 2
Familiarise yourself with the latest trends in Financial Markets, especially if you have experience on the sell-side. Being able to discuss current market dynamics will show your expertise and passion for the field.
✨Tip Number 3
Prepare to articulate your previous data projects, particularly those that involved Azure Data Engineering and Databricks. Highlighting specific challenges you faced and how you overcame them will impress the interviewers.
✨Tip Number 4
Practice explaining your thought process clearly and concisely, as the discussion part of the selection process is only 15 minutes long. Being able to communicate your approach effectively will set you apart from other candidates.
We think you need these skills to ace Lead data Engineer - Financial Markets - Day rate
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.
Craft a Compelling Cover Letter: Write a cover letter that showcases your mastery of Azure Data Engineering and Databricks. Explain how your advanced Scala/Spark skills have contributed to successful ELT processes in previous roles.
Prepare for the Technical Task: Brush up on your Scala/Spark skills and be ready to demonstrate your ELT capabilities. Practice with hands-on tasks that reflect the type of work you might encounter in this role.
Showcase Your Financial Markets Knowledge: In your application, include specific examples of your experience in Financial Markets, especially on the sell-side. This will help you stand out as a candidate who understands the industry's nuances.
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, especially those related to the sell-side, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Technical Proficiency
Since the selection process includes a technical data task, brush up on your Scala and Spark skills. Practice common ELT processes and be ready to explain your thought process clearly during the discussion phase.
✨Emphasise Data Quality and Architecture Skills
Discuss your experience with data quality, metadata management, and data architecture. Provide examples of how you've ensured high-quality data in previous projects, as this is highly valued for the role.
✨Prepare for a Collaborative Discussion
The interview will include a 15-minute chat about your approach to the technical task. Be ready to articulate your reasoning and decision-making process, showcasing your ability to collaborate and communicate effectively.
