Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of Data Engineers to manage and interpret critical business data.
- Company: Join FTSE Russell, a leader in data and distribution, committed to innovation and diversity.
- Benefits: Enjoy tailored benefits, wellbeing initiatives, and a dynamic workplace culture.
- Why this job: Be part of a pivotal data initiative that drives impact across the organisation.
- Qualifications: Expertise in AWS, Python, PowerBI, and strong data management skills required.
- Other info: We value diversity and offer equal opportunities for all applicants.
The predicted salary is between 48000 - 72000 £ per year.
Role Summary
This pivotal role within the FTSE Russell Data and Distribution team is essential for a new company-wide data initiative. As the Data Engineer Team Lead, you will coordinate a small team of 4-5 Data Engineers. Your team will be responsible for identifying, collecting, and interpreting critical business data across the organization. Additionally, you will create reports using PowerBI and other reporting tools. This role requires a confident leader who can also contribute individually. The FTSE Russell data platform runs in AWS, with Python as the core development language. To excel in this role, you must have expert-level experience in AWS, Python, PowerBI, and data management.
What you\\\’ll be doing
- Collaborating with Product Managers and business leaders to identify potential data sources.
- Working with business users to understand data requirements and plan the integration into the Lakehouse.
- Refining and collating data into meaningful outputs using code and configuration as needed.
- Creating PowerBI or other reports for both internal and external consumers.
- Managing the workflow of requests into the team and providing mentorship to the team.
- Defining best practices for building, testing, and deploying reusable code that can run in various scenarios.
What you\\\’ll bring
- Extensive experience with Python.
- Expert-level data and SQL skills with a keen eye for detail.
- Strong familiarity with AWS components, particularly Athena and Glue.
- Self-starter capable of running multiple work streams simultaneously.
- Exceptional interpersonal skills, able to translate requirements between business and technical users.
- Experience with Iceberg and Lakehouse technologies is a plus.
Our values and equal opportunities
We are an equal opportunities employer. This means we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can reasonably accommodate applicants\\\’ and employees\\\’ religious practices and beliefs, as well as mental health or physical disability needs. LSEG is committed to sustainability and to creating a diverse, inclusive, and dynamic workplace.
Our employees share a culture of growth, opportunity, diversity and innovation and are supported by a range of tailored benefits and wellbeing initiatives.
Privacy notice
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
#J-18808-Ljbffr
Data Engineer Team Lead employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Team Lead
✨Tip Number 1
Familiarise yourself with the latest AWS services, especially Athena and Glue, as these are crucial for the role. Consider taking online courses or certifications to demonstrate your expertise in these areas.
✨Tip Number 2
Brush up on your Python skills by working on real-world projects or contributing to open-source initiatives. This will not only enhance your coding abilities but also show your commitment to continuous learning.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who have experience with PowerBI and data management. Attend industry meetups or webinars to make connections that could lead to valuable insights and referrals.
✨Tip Number 4
Prepare to discuss your leadership style and how you manage a team effectively. Think of examples where you've mentored others or led projects, as this will be key in showcasing your fit for the Team Lead position.
We think you need these skills to ace Data Engineer Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and PowerBI. Include specific projects or achievements that demonstrate your leadership skills and technical expertise relevant to the Data Engineer Team Lead role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience in managing teams and working with data integration.
Showcase Relevant Projects: If you have worked on projects involving Iceberg or Lakehouse technologies, be sure to mention these. Provide examples of how you have used Python and AWS to solve complex data challenges, as this will demonstrate your fit for the position.
Highlight Interpersonal Skills: Since the role requires collaboration with Product Managers and business leaders, emphasise your interpersonal skills in your application. Share examples of how you've successfully translated technical requirements for non-technical stakeholders.
How to prepare for a job interview at LSEG
✨Showcase Your Leadership Skills
As a Data Engineer Team Lead, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed teams in the past, highlighting your mentoring style and how you handle workflow management.
✨Demonstrate Technical Expertise
Be ready to discuss your extensive experience with Python, AWS, and PowerBI. You might be asked technical questions or given scenarios to solve, so brush up on your coding skills and be prepared to explain your thought process clearly.
✨Understand Business Needs
Since collaboration with Product Managers and business leaders is key, show that you can translate technical requirements into business solutions. Think of examples where you've successfully identified data needs and integrated them into projects.
✨Familiarise Yourself with Lakehouse Technologies
While not mandatory, having knowledge of Iceberg and Lakehouse technologies could set you apart. Research these technologies and be prepared to discuss how they can benefit data management and reporting within the organisation.
