Data Engineering Lead: Scalable Pipelines & AI Insights in London

Data Engineering Lead: Scalable Pipelines & AI Insights in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
S&P Global Inc.

At a Glance

  • Tasks: Lead a team to design scalable data solutions and automate data ingestion.
  • Company: Join S&P Global, a leader in data and analytics.
  • Benefits: Competitive salary, flexible work options, and career advancement opportunities.
  • Other info: Dynamic role with a focus on innovation and quality.
  • Why this job: Shape the future of data engineering with cutting-edge AI insights.
  • Qualifications: Experience in data engineering and team leadership required.

The predicted salary is between 70000 - 90000 £ per year.

S&P Global, Inc. is seeking a Data Team Lead to manage a team of data engineers and scientists. This role involves designing scalable data solutions with an emphasis on automating data ingestion from third-party sources.

You will implement event-driven architectures on AWS and utilize Large Language Models to derive insights from unstructured data. As a key player, you'll translate product requirements into technical deliverables, ensuring timely project completion and high standards of data quality.

Data Engineering Lead: Scalable Pipelines & AI Insights in London employer: S&P Global Inc.

S&P Global, Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where data professionals can thrive in their careers. With a strong emphasis on employee growth, the company offers extensive training opportunities and encourages team members to explore cutting-edge technologies like AWS and AI. Located in a vibrant area, S&P Global provides a dynamic environment that not only values high standards of data quality but also promotes work-life balance and meaningful contributions to impactful projects.

S&P Global Inc.

Contact Details:

S&P Global Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineering Lead: Scalable Pipelines & AI Insights in London

Tip Number 1

Network like a pro! Reach out to folks in the data engineering space, especially those who work with scalable pipelines and AI insights. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects, especially those involving AWS and event-driven architectures. 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 your technical knowledge. Be ready to discuss how you've implemented data solutions and automated processes in the past. We want to see your problem-solving skills in action!

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 Data Engineering Lead: Scalable Pipelines & AI Insights in London

Team Management
Data Engineering
Scalable Data Solutions
Automation of Data Ingestion
Event-Driven Architectures
AWS
Large Language Models

Some tips for your application 🫡

Showcase Your Experience:When writing your application, make sure to highlight your experience with data engineering and any relevant projects you've worked on. We want to see how you've tackled challenges similar to those in the job description!

Be Specific About Your Skills:Mention specific tools and technologies you’ve used, especially around AWS and event-driven architectures. We love seeing candidates who can clearly articulate their technical skills and how they apply to the role.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the requirements of the Data Engineering Lead position. We appreciate when applicants take the time to connect their experiences to what we’re looking for.

Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at S&P Global Inc.

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and event-driven architectures. Brush up on your knowledge of Large Language Models and be ready to discuss how you’ve used them in past projects.

Showcase Your Leadership Skills

As a Data Team Lead, you'll need to demonstrate your ability to manage and inspire a team. Prepare examples of how you've successfully led teams in the past, focusing on project management, conflict resolution, and mentoring junior engineers.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems related to data ingestion and scalability. Practice articulating your thought process clearly, as this will show your analytical skills and ability to think on your feet.

Align with Company Values

Research S&P Global’s mission and values, and think about how your personal values align with theirs. Be ready to discuss why you want to work there and how you can contribute to their goals, particularly in delivering high-quality data solutions.