Job Description
- Financial industry experience
- Market/Credit Risk and Clearing knowledge
- Design & development of automated data pipelines
- 7+ years data engineering experience (data warehousing)
- 3+ years Snowflake, SQL, dbt, ELT, Spark, Airflow experience
- 3+ years Python programming experience
- 3+ years CI/CD pipeline experience (Jenkins/GitLab)
- 5+ years Agile experience (Scrum, Kanban, Jira)
Project description
We are more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
We are headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.
Responsibilities
As a Data Engineer you will be a key operational and hands-on engineer delivering business tenancies as part of the data platform strategy execution across all areas of the business. You will work closely with other teams, especially the London core team in a multi-functional set-up.
The Data Engineer will be an experienced data professional to help develop and support this Data platform.
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 data platform and the role would suit an ambitious individual keen to develop their skills and knowledge.
You will act as a member of the Group Risk IT Concorde program and work with the product teams to design and implement modern, scalable data solutions using a range of new and emerging technologies contributing to innovation in the data space.
Skills
Must have
Design and development of automated data pipelines and data structures
7+ years of data engineering experience for data warehouse solutions including 3+ years hands on experience for solutions using Snowflake, SQL, dbt, ELT, Spark, Airflow
3+ years of working with Python Programming
3+ years hands on knowledge of building and executing CI/CD pipelines using Jenkins or GitLab.
5+ years working with Agile Delivery teams (Scrum, Kanban) and JIRA
Nice to have
Experience in the financial Industry
Knowledge of Market/Credit Risk and Clearing
Other
Languages
English: C1 Advanced
Seniority
Senior
