LRH17 Data Engineer
London
Cybernetic Controls Limited
We are a trusted UK recruitment services provider,offering expert staffing solutions across various sectors.Explore Cybernetic Controls todayDepartment: Data
Employment Type: Full Time
Location: London
Reporting To: Chief Technology Officer
Description
OverviewLRH 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
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.