At a Glance
- Tasks: Lead the design and implementation of innovative data solutions on AWS and Snowflake.
- Company: Join LSEG, a global leader in financial markets infrastructure and data.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Be part of a diverse team that values innovation and sustainability.
- Why this job: Make a significant impact in a dynamic environment while developing your skills.
- Qualifications: 10+ years in Python, 3+ years in data engineering, and experience with cloud technologies.
The predicted salary is between 80000 - 100000 £ per year.
The Post Trade Division in LSEG has launched a Data Transformation program called Concorde. The objective is to have a new, centralized, and secure way to manage Post Trade data on cloud native technology in AWS and Snowflake. The operating model is a federated model with Core Engineering teams based in London/Bucharest/Bangalore and Engineers based in each Business division to lead the implementation of tenancies on AWS/Snowflake.
Key Responsibilities:
- As a Lead Data Engineer for Concorde you will be a key operational and hands-on engineer delivering Business tenancies for SwapClear and Listed Rates as part of the data platform strategy execution across all areas of the business.
- You will act as a member of the Concorde program and work with product teams across SwapClear and Listed Rates to design and implement modern, scalable data solutions using a range of new and emerging technologies contributing to innovation in the data space.
- You will work on developing and supporting the AWS & Snowflake based cloud data platform as well as helping to support and migrate data from legacy platforms.
- This is an opportunity to play a key part in the roll-out of a new cloud-based analytics platform and the role would suit an ambitious individual keen to develop their skills and knowledge.
- You will be a self-starter who is able to manage both business stakeholders and engineering teams across multiple locations.
Required Skills:
- Design and development of automated data pipelines and data structures
- 10+ years of working with Python Programming
- 3+ years hands on data engineering experience for data warehouse solutions using Snowflake, SQL, dbt and Airflow
- 5+ years hands on experience building Event stream processing systems on Kafka or similar technology and experience in building event based services
- 2+ years hands on knowledge of building CI/CD pipelines using GitLab.
- 5+ years working with Agile Delivery teams (Scrum, Kanban) and JIRA
- Ability to build automated testing to test data pipelines
- Support transition from on-premises solutions to cloud first strategy (AWS & Snowflake)
- Up-to-date knowledge of technology standards, industry trends, emerging technologies and software development best practices
- Demonstrable experience of ITIL processes within a 2nd/3rd line support environment
Career Stage: Manager
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, 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.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Lead Data Engineer, Cloud Data Platform (AWS/Snowflake) employer: London Stock Exchange Group
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Lead Data Engineer, you will have the opportunity to work with cutting-edge technologies in a supportive culture that values your individuality and encourages professional growth. With tailored benefits, including healthcare and paid volunteering days, you will be part of a diverse team committed to driving financial stability and sustainability across the globe.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer, Cloud Data Platform (AWS/Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at LSEG or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you're aiming for a Lead Data Engineer role, be ready to discuss your experience with AWS, Snowflake, and data pipelines. Practice common interview questions and have examples ready to showcase your expertise.
✨Tip Number 3
Showcase your passion for innovation! During interviews, share your thoughts on emerging technologies and how they can impact the data space. This will demonstrate that you’re not just a techie but also someone who’s excited about the future of data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at LSEG. Let’s get you that dream job!
We think you need these skills to ace Lead Data Engineer, Cloud Data Platform (AWS/Snowflake)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with AWS, Snowflake, and data engineering. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Concorde program. Let us know why you're excited about this opportunity!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with automated data pipelines, CI/CD, or any innovative solutions you've implemented. We love seeing real examples!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Snowflake, and the other technologies mentioned in the job description. Brush up on your Python programming skills and be ready to discuss your experience with data pipelines, CI/CD processes, and event stream processing systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you designed scalable data solutions or migrated data from legacy systems. This will demonstrate your hands-on experience and ability to innovate.
✨Understand the Business Context
Familiarise yourself with the Post Trade Division and the Concorde program. Knowing how your role as a Lead Data Engineer fits into the bigger picture will help you articulate your value to the team and show that you’re genuinely interested in the company’s mission.
✨Emphasise Collaboration
Since this role involves working with multiple teams across different locations, be prepared to discuss your experience in Agile environments and how you’ve successfully collaborated with both technical and non-technical stakeholders. Highlight your communication skills and adaptability.