Lead Data Engineer
Searchability
London, UK
28 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£120,000.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Microsoft Azure
Databases
Data Systems
Python (Programming Language)
Standard Sql
Workflow Management Systems
Data Processing
Data Storage Technologies
Data Management
Data Pipelines
Job description
As the Lead Data Engineer, you’ll be responsible for designing, building and maintaining scalable data platforms that support business-critical applications. You’ll develop robust data pipelines, optimise data storage and processing, implement best practices around data quality and governance, and work closely with cross-functional engineering teams to deliver reliable, high-performing data solutions. You’ll also provide technical guidance, helping to drive engineering standards and continuous improvement across the data function.
Requirements
- Commercial experience within a Lead Data Engineer, Senior Data Engineer or Backend Engineering role
- Strong Python development skills
- Experience designing and building scalable data pipelines
- Strong knowledge of SQL and database technologies
- Experience working with modern data processing and orchestration tools
- Knowledge of cloud platforms such as AWS, Azure or GCP
- Experience working within agile software engineering environments
- Excellent communication, stakeholder management and problem-solving skills
Benefits & conditions
- Salary up to £120,000 + Equity
- London-based role - hybrid working with 4 days per week in the office
- Join a fast-growing technology business building modern, cloud-based data platforms
- Lead the design and development of scalable data infrastructure using Python and cloud technologies, * Competitive salary up to £120,000
- Competitive equity package
- Hybrid working with 4 days per week in the London office
- Private healthcare
- Opportunity to influence technical direction across the data function
- Work within a collaborative engineering environment
- Clear progression opportunities as the business continues to grow
- Exposure to modern cloud and data technologies
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