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- Tasks: Design and evolve complex data systems for analytics and AI capabilities.
- Company: Global information company in the UK with a focus on innovation.
- Benefits: Health screening, well-being initiatives, and optional dental insurance.
- Why this job: Lead technical projects and mentor engineers while shaping the future of AI/ML.
- Qualifications: Strong experience with SQL Server, cloud data lakes, and AI/ML pipelines.
The predicted salary is between 48000 - 72000 £ per year.
A global information company in the United Kingdom is seeking a Senior Data Engineer to play a key technical leadership role. You will design and evolve complex data systems that support analytics and AI capabilities. This role requires strong experience with SQL Server, cloud-based data lakes, and building data pipelines for AI/ML workloads, along with mentoring other engineers.
Benefits include health screening, well-being initiatives, and optional dental insurance.
Senior Data Engineer: Architect AI/ML Pipelines 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: Architect AI/ML Pipelines
✨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 past projects, especially those involving SQL Server and AI/ML pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud-based data lakes and how you've mentored other engineers in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Engineer: Architect AI/ML Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server, cloud-based data lakes, and AI/ML 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 data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Leadership Skills: Since this role involves mentoring other engineers, make sure to mention any leadership or mentoring experiences you’ve had. We value collaboration and want to know how you can help others grow!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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 and cloud-based data lakes. Brush up on your knowledge of building data pipelines specifically for AI/ML workloads. Be ready to discuss your past projects and how you tackled challenges in these areas.
✨Showcase Your Leadership Skills
Since this role involves mentoring other engineers, prepare examples of how you've successfully led teams or guided colleagues in the past. Highlight your approach to fostering collaboration and knowledge sharing within a technical team.
✨Prepare for Technical Questions
Expect in-depth technical questions that assess your problem-solving skills and understanding of data architecture. Practice explaining complex concepts clearly and concisely, as you may need to demonstrate your thought process during the interview.
✨Align with Company Values
Research the company’s culture and values. Be ready to discuss how your personal values align with theirs, especially regarding innovation and teamwork. This will show that you’re not just a fit for the role, but also for the company as a whole.
