At a Glance
- Tasks: Design and develop automated data pipelines and scalable data solutions.
- Company: Join LSEG's innovative Post Trade Division on a transformative journey.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge cloud technologies.
- Other info: Dynamic role with opportunities to innovate and lead in a collaborative environment.
- Why this job: Be a key player in revolutionising data management with AWS and Snowflake.
- Qualifications: 10+ years in Python, 5+ years in Agile teams, and hands-on data engineering experience.
The predicted salary is between 80000 - 100000 £ per year.
Requirements
- 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.
What the job involves
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.
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.
Lead Data Engineer employer: London Stock Exchange
As a Lead Data Engineer at LSEG, you will join a forward-thinking team dedicated to transforming Post Trade data management through innovative cloud solutions. Our collaborative work culture fosters continuous learning and professional growth, offering you the chance to enhance your skills while working with cutting-edge technologies like AWS and Snowflake. Located in a vibrant city, we provide a dynamic environment that values diversity and encourages creativity, making LSEG an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Snowflake, and Kafka. We recommend sharing this on platforms like GitHub or even your own website to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We suggest doing mock interviews with friends or using online resources to practice common questions related to data engineering and cloud technologies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Snowflake, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead Data Engineer role and how your background aligns with our goals at StudySmarter. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data pipelines or cloud solutions, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to AWS, Snowflake, or CI/CD pipelines.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at London Stock Exchange
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Snowflake, SQL, and Kafka. Brush up on your knowledge of CI/CD pipelines and Agile methodologies, as these will likely come up during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your hands-on experience with data engineering and cloud solutions. Be ready to discuss how you've built automated data pipelines and supported transitions to cloud-first strategies.
✨Understand the Business Context
Familiarise yourself with the Post Trade Division and the Concorde program. Understanding the business goals and how your role as a Lead Data Engineer fits into the bigger picture will show your enthusiasm and strategic thinking.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they are using, and the challenges they face. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
