London Reporting House

Data Engineer (Python/AWS)

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Job Location

The City, United Kingdom

Job Description

Data Engineer (Python/AWS) Overview LRH is on a mission to create a truly data-driven repo market. Backed by the Kaizen RegTech Group, our startup works with the world’s leading banks, asset managers and hedge funds to develop a pioneering data solution designed to enhance trading activities in the €23 trillion UK and European repo markets. Our innovation provides these financial institutions with an unprecedented perspective on market dynamics. https://londonreportinghouse.com Job summary We are looking for a motivated Data Engineer to join our team starting immediately You will be a core part of our data & engineering teams, specialising in developing performant, scalable data pipelines and deploying cloud infrastructure to support our web applications and analytics dashboards. This is an exciting opportunity to work with a truly unique financial markets data source and shape our data infrastructure and analytical capabilities. You will be applying your skills cross-company on vital and impactful projects, operating at every stage of the Software Development Lifecycle and developing serverless solutions using AWS. The role is on-site and you will be exposed to the business side of the organisation, as well as having an opportunity to get in front of clients and partners (quite a rare opportunity in the industry). Key Activities and Responsibilities: Develop and maintain scalable, performant data pipelines. Optimising existing pipelines for speed, reliability and security. Interface with cloud infrastructure (AWS Glue, Lambda, SQS, CloudFormation, RDS/Aurora etc.). Design and maintain databases and data warehouses. Monitor data pipelines in production and develop tools to facilitate that. Work collaboratively with team members and cross-company. Experience and Qualifications: Proficient with Python and SQL. Experience with cloud services (e.g. AWS Lambda, AWS Glue, AWS RDS). Deep knowledge of ETL processes and data modelling Experience with data orchestration (e.g., Step Functions). Proficient with version control systems (e.g., Git). 3-5 years of professional experience within a team. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. A strong self-starting attitude, you love a challenge Great written and verbal communication skills. Software development lifecycle best practices. Agile principles, processes and tools. Nice-to-haves: Experience with containerisation (e.g. Docker). Experience with infrastructure-as-code (e.g. AWS CloudFormation). Familiarity with CI/CD pipelines and tools (e.g. CodePipeline, GitLab CI). Understanding of data privacy and security best practices, and fundamental cryptographic principles. Knowledge of machine learning and data science concepts. Familiarity with GenAI frameworks (e.g., Bedrock). Knowledge of the financial markets would be an asset. What you’ll get in return: A competitive salary package. Office in the heart of The City: 5-minute walking distance from Bank, Cannon Street and St. Paul's stations. Access to additional office space in London’s iconic Gherkin 5 minutes from Liverpool Street Station. 25 days’ holiday ️, as well as UK bank holidays. Well-being allowance. Build-your-skills ️ allowance. Private healthcare ❤️ dental. Working within a fast-growing company that has a culture of empowerment, innovation and collaboration. Awesome team of financial markets experts, data analysts and engineers. Opportunity to play a key role in an exciting startup backed by the Kaizen RegTech Group. Opportunities for continuous career growth and learning.

Location: The City, GB

Posted Date: 1/16/2025
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London Reporting House

Posted

January 16, 2025
UID: 5009238941

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