At a Glance
- Tasks: Lead the design and implementation of innovative data solutions on AWS and Snowflake.
- Company: Join LSEG, a forward-thinking company transforming data management.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellness initiatives.
- Other info: Dynamic role with opportunities for career growth and skill development.
- Why this job: Be at the forefront of cloud technology and make a real impact in data transformation.
- Qualifications: 10+ years in Python, 3+ years in data engineering, and experience with AWS/Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
Overview
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.
Benefits
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Equal Opportunities
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. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Lead Data Engineer employer: Dormont Manufacturing Co
LSEG is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the Lead Data Engineer role within the innovative Concorde program. With a strong focus on employee growth, we offer tailored benefits such as healthcare, retirement planning, and paid volunteering days, all while providing opportunities to work with cutting-edge technologies in a collaborative environment across multiple global locations.
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We think you need these skills to ace Lead Data Engineer
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