At a Glance
- Tasks: Lead a dynamic team to design and deliver innovative data solutions.
- Company: Join a forward-thinking company that values diversity and innovation.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Other info: Be part of a supportive environment with excellent career growth potential.
- Why this job: Shape the future of data engineering with cutting-edge technologies and impactful projects.
- Qualifications: Experience in data engineering and team leadership is essential.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Data Team Lead to manage and grow a high‑performing team of data engineers and data scientists. This role is responsible for designing and delivering scalable data solutions, with a strong focus on automating data ingestion and processing from a wide range of third‑party sources. You will play a key role in shaping how data is collected, processed, and transformed into valuable products. This includes leveraging modern technologies such as event‑driven architectures on AWS and applying Large Language Models (LLMs) to extract insights from unstructured data.
Working closely with the Product Owner, you will translate product requirements into clear technical deliverables, ensuring projects are delivered on time and to a high standard.
Responsibilities- Lead, mentor, and manage a team of data engineers and data scientists.
- Design and oversee automated data pipelines ingesting data from multiple third‑party sources.
- Implement scalable, event‑driven architectures (primarily within AWS).
- Apply LLMs and related technologies to process and structure unstructured data sources.
- Collaborate closely with Product Owners to translate business requirements into technical solutions.
- Break down product initiatives into actionable tasks, managing delivery timelines and priorities.
- Ensure high standards of data quality, reliability, and maintainability.
- Drive best practices in data engineering, architecture, and workflow automation.
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: Perks for your partners and little ones, including best‑in‑class benefits for families.
- Beyond the Basics: Retail discounts, referral incentive awards, and other small perks that can make a big difference.
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com.
Workplace discrimination is illegal.
Data Engineering Team Lead employer: S&P Global Inc.
At S&P Global, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineering Team Lead, you will not only lead a talented team but also benefit from our commitment to employee growth through continuous learning opportunities and generous health and wellness benefits. Located in a vibrant environment, we provide a supportive atmosphere that values work-life balance and family-friendly perks, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Team 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 lookout for opportunities. You never know who might have the inside scoop on a great role or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineering Team Lead role. Highlight your experience with data pipelines, AWS, and team leadership to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can lead a high-performing team. Share specific examples of past successes that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t forget to mention your familiarity with event-driven architectures and Large Language Models. We love seeing candidates who can demonstrate their technical prowess and how they’ve applied it in real-world scenarios.
Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at S&P Global Inc.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially AWS and event-driven architectures. Brush up on your knowledge of Large Language Models (LLMs) and how they can be applied to unstructured data. This will show that you’re not just a fit for the role but also genuinely interested in the tech.
✨Showcase Your Leadership Skills
As a Data Engineering Team Lead, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to fostering collaboration and driving best practices in data engineering.
✨Translate Business Needs into Technical Solutions
Be ready to discuss how you’ve previously translated product requirements into actionable technical deliverables. Think of specific projects where you collaborated with Product Owners and how you ensured timely delivery while maintaining high standards of quality.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy, team dynamics, and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
