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- Tasks: Design and optimise data pipelines for AI model development while mentoring junior engineers.
- Company: Leading payments technology company based in Cambridge with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of payments technology with your expertise.
- Qualifications: 5+ years of experience, mastery in Apache Spark, and proficiency in Python.
- Other info: Collaborate with cross-functional teams to deliver robust data solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading payments technology company in Cambridge is seeking a Senior Consultant Data Engineer to design and optimize data pipelines for AI model development. The role involves mentoring junior engineers, leading projects, and collaborating with cross-functional teams to ensure robust data solutions.
Candidates should have at least 5 years of experience, mastery in Apache Spark, and proficiency in Python. This position offers a hybrid work model.
Senior Data Engineer - Payments AI Foundations in Cambridge employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Payments AI Foundations in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the payments tech space and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals that might just land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. This is your chance to demonstrate your mastery in Apache Spark and Python, making it easier for hiring managers to see what you bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience mentoring junior engineers. We want to hear how you've led projects and collaborated with teams to create robust data solutions.
✨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 about their job search!
We think you need these skills to ace Senior Data Engineer - Payments AI Foundations in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and AI model development. We want to see how your skills in Apache Spark and Python shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of projects you've led or mentored others on, and show us your passion for data engineering.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, highlight any experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 opportunity!
How to prepare for a job interview at Visa
✨Know Your Tech Inside Out
Make sure you brush up on your Apache Spark and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, think of examples where you've successfully guided others. Prepare to share how you approach teaching complex concepts and fostering a collaborative environment.
✨Prepare for Project Leadership Questions
Expect questions about leading projects and working with cross-functional teams. Have a couple of solid examples ready that highlight your leadership style, decision-making process, and how you handle conflicts or differing opinions.
✨Understand the Company’s Vision
Research the company’s goals in the payments technology space. Be prepared to discuss how your experience aligns with their mission and how you can contribute to their AI model development efforts.
