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- Tasks: Design and build complex data systems for analytics and AI.
- Company: Leading information solutions provider in Greater London.
- Benefits: Generous holiday allowance and health programmes.
- Why this job: Lead innovative projects that shape the future of data engineering.
- Qualifications: Strong experience with SQL Server, Azure/AWS, and data engineering.
- Other info: Join a dynamic team with exciting growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading information solutions provider in Greater London seeks a Senior Data Engineer to lead in designing and building complex data systems. This role focuses on developing innovative data architectures and pipelines that support both traditional analytics and AI capabilities.
Candidates should have strong experience with SQL Server, data lakes on Azure and/or AWS, and a solid background in data engineering.
Benefits include generous holiday allowance and health programs.
Senior Data Engineer II - AI-Ready Data Pipelines employer: LexisNexis
Contact Detail:
LexisNexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer II - AI-Ready Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work with SQL Server or cloud platforms like Azure and AWS. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architectures and pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you would tackle challenges related to AI capabilities and traditional analytics. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Data Engineer II - AI-Ready Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL Server and data lakes on Azure or AWS. We want to see how your background in data engineering makes you the perfect fit for this role!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role of Senior Data Engineer II.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at LexisNexis
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server skills and get familiar with data lakes on Azure and AWS. Be ready to discuss specific projects where you've designed or built complex data systems, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. This is especially important for a Senior Data Engineer role, as they want to see your innovative thinking when it comes to developing data architectures and pipelines.
✨Understand the Company’s Vision
Research the company and its focus on AI capabilities. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their innovative projects. This shows that you're not just looking for any job, but that you're genuinely interested in their mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team, the technologies they use, and their future projects. This not only demonstrates your interest but also gives you a chance to assess if the company is the right fit for you.
