LRH17 Data Engineer

London

Cybernetic Controls Limited

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LRH17 Data Engineer

Department: Data

Employment Type: Full Time

Location: London

Reporting To: Chief Technology Officer


Description

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://www.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 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

Skills, Knowledge and Expertise

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

Benefits

  • A competitive salary package
  • Office in the heart of The City: 5-minute walking distance from Bank, Cannon Street and St. Paul's station
  • 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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AWS AWS Glue CI/CD CloudFormation Data pipelines Docker Engineering ETL Generative AI Git GitLab Lambda Machine Learning Pipelines Privacy Python Security SQL Step Functions

Perks/benefits: Career development Competitive pay Startup environment

Region: Europe
Country: United Kingdom

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