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- Tasks: Design and maintain complex data systems for AI/ML capabilities.
- Company: Leading information solutions provider in the UK with a focus on innovation.
- Benefits: Generous holidays, healthy work-life balance, and competitive benefits.
- Why this job: Join a dynamic team and make an impact in AI-driven data solutions.
- Qualifications: Strong SQL Server experience and background in building data pipelines.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading information solutions provider in the UK is seeking a Data Engineer to design and maintain complex data systems that enable AI/ML capabilities. You will collaborate closely with data scientists and engineers, ensuring the integrity and scalability of data infrastructures.
Strong experience in SQL Server and cloud Data Lakes is essential, along with a proven background in building production-grade data pipelines.
This role promotes a healthy work-life balance and offers generous holidays and benefits.
Data Engineer II: AI‑Driven Data Pipelines employer: LexisNexis
Contact Detail:
LexisNexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II: AI‑Driven Data 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 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 best data pipelines and projects. This is your chance to demonstrate your SQL Server expertise and cloud Data Lake experience, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your past projects and how you've ensured data integrity and scalability. Confidence is key, so get comfortable talking about your work!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, you'll be one step closer to landing that dream job with a company that values work-life balance and offers great benefits.
We think you need these skills to ace Data Engineer II: AI‑Driven Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server and cloud Data Lakes. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and 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 AI-driven initiatives. Let us know what excites you about working with data scientists and engineers.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in building production-grade data pipelines. We love seeing how you approach problems and find innovative solutions, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at LexisNexis
✨Know Your Data Inside Out
Make sure you brush up on your SQL Server skills and understand the intricacies of cloud Data Lakes. Be ready to discuss your previous projects where you've built production-grade data pipelines, as this will show your hands-on experience and technical prowess.
✨Collaborate Like a Pro
Since you'll be working closely with data scientists and engineers, prepare to talk about your teamwork experiences. Think of examples where you successfully collaborated on projects, highlighting how you ensured data integrity and scalability in your solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Practice explaining your thought process when faced with data-related issues, as this will demonstrate your analytical skills and ability to think on your feet.
✨Emphasise Work-Life Balance
This role promotes a healthy work-life balance, so don’t hesitate to express your appreciation for that. Share how you manage your time effectively and maintain productivity while ensuring you have time for personal interests outside of work.
