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- Tasks: Create scalable data solutions and develop data pipelines using AWS and Snowflake.
- Company: Leading financial services provider in Greater London with a focus on innovation.
- Benefits: Competitive benefits and a culture of continuous improvement.
- Why this job: Join a dynamic team and drive innovation in the financial sector.
- Qualifications: 10+ years in Python programming and expertise in data engineering and cloud solutions.
- Other info: Opportunity to work on exciting projects and enhance your career.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services provider in Greater London seeks a Lead Data Engineer to deliver scalable data solutions using AWS and Snowflake. This role involves developing data pipelines, supporting legacy data migration, and collaborating with product teams to drive innovation across business areas.
Candidates must have over 10 years of experience in Python programming and extensive knowledge of data engineering, cloud solutions, and event processing systems.
We offer competitive benefits and a culture of continuous improvement.
Lead Data Engineer — Cloud Data Platform (AWS/Snowflake) employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Cloud Data Platform (AWS/Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your expertise in Python and cloud solutions, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've driven innovation in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Lead Data Engineer — Cloud Data Platform (AWS/Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Snowflake, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Let us know what excites you about working with cloud solutions and innovation.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and come up with creative solutions, especially when it comes to legacy data migration.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python programming skills and be ready to discuss your experience with AWS and Snowflake. Prepare to explain how you've developed data pipelines and handled legacy data migration in past roles.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach a data challenge or innovate a solution for a product team. This will demonstrate your critical thinking and technical prowess.
✨Collaborate Like a Pro
Since this role involves working closely with product teams, highlight your experience in collaboration. Share examples of how you've successfully worked with cross-functional teams to drive innovation and deliver results.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and culture of continuous improvement. This shows your genuine interest in the role and helps you assess if it's the right fit for you.