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- Tasks: Design and implement data pipelines and develop event-driven solutions using AWS, Kafka, and Python.
- Company: Leading investment management company in Manchester with a focus on inclusivity.
- Benefits: Collaborative environment and commitment to long-term success.
- Other info: Exciting opportunity for career growth in a dynamic industry.
- Why this job: Join a team that values client-centric solutions and innovation.
- Qualifications: Over 5 years of experience in a lead role with strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
A leading investment management company in Manchester is seeking a Senior Data Engineer to design and implement data pipelines and develop event-driven solutions using AWS, Kafka, and Python.
The ideal candidate will have over 5 years of experience in a lead role, strong SQL capabilities, and proficient in building cloud infrastructure.
This role offers an opportunity to work in a collaborative environment with a focus on client-centric solutions.
Apply now to join a company committed to long-term success and inclusivity.
Senior Data Engineer - Real-Time Fraud & Cloud Infra employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real-Time Fraud & Cloud Infra
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS, Kafka, or Python. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and event-driven solutions. This is your chance to demonstrate your SQL prowess and cloud infrastructure expertise in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. We recommend practising coding challenges and discussing your past projects to highlight your experience in a lead role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about inclusivity and long-term success, so you’ll be in good hands.
We think you need these skills to ace Senior Data Engineer - Real-Time Fraud & Cloud Infra
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Kafka, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL capabilities and any cloud infrastructure projects you've led.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time data solutions and how you can contribute to our client-centric approach. Let us know what excites you about this opportunity!
Showcase Your Collaborative Spirit: Since we value collaboration, share examples of how you've worked in teams to solve complex problems. Highlight any leadership roles you've taken on and how you’ve helped others succeed in their 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’re considered for this exciting role. Don’t miss out on the chance to join our inclusive team!
How to prepare for a job interview at Vanguard
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Kafka, and Python. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you designed data pipelines or developed event-driven solutions. This will demonstrate your ability to think critically and innovate.
✨Emphasise Collaboration
Since the role focuses on a collaborative environment, be prepared to discuss how you’ve worked with cross-functional teams. Highlight any experiences where you’ve contributed to client-centric solutions, as this aligns with the company’s values.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data engineering and their future projects. This shows your genuine interest in the role and helps you assess if the company culture is the right fit for you.