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- Tasks: Lead the design and evolution of complex data systems for analytics and AI.
- Company: Global information provider with a focus on innovation and technology.
- Benefits: Competitive salary and extensive well-being benefits.
- Why this job: Make a significant impact in AI and analytics while mentoring fellow engineers.
- Qualifications: Strong experience with SQL Server, cloud Data Lakes, and data pipeline development.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global information provider is looking for a Senior Data Engineer to lead technical efforts in designing and evolving complex data systems that support analytics and AI capabilities. The ideal candidate has strong experience with SQL Server, cloud-based Data Lakes, and building data pipelines for AI workloads.
Responsibilities include:
- Mentoring other engineers
- Ensuring data platform integrity
This position offers a competitive salary and numerous well-being benefits.
Senior Data Engineer - AI/Data Platform Lead employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AI/Data Platform Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL Server, cloud-based Data Lakes, and AI workloads. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data systems and AI capabilities. We recommend practising with a friend or using online resources to get comfortable discussing your experience and problem-solving approach.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Engineer - AI/Data Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server, cloud-based Data Lakes, and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading technical efforts in data systems and how you can contribute to our analytics and AI capabilities. Let us know what excites you about this opportunity!
Showcase Your Mentoring Skills: Since mentoring is part of the role, share examples of how you've supported other engineers in the past. We love to see how you’ve helped others grow and how you can bring that same energy to our team.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL Server, cloud-based Data Lakes, and data pipelines for AI workloads. Brush up on your technical skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be mentoring others. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to guide and support fellow engineers while ensuring the integrity of data platforms.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about complex data system challenges you've faced and how you approached them. Be ready to explain your thought process and the outcomes of your decisions.
✨Research the Company Culture
Understanding the company’s values and culture can give you an edge. Look into their approach to analytics and AI capabilities, and think about how your experience aligns with their goals. This will help you tailor your responses and show you're a great fit.
