Lead Python Engineer

Job Description:
As a Lead Engineer, you will play a critical role in shaping the technical direction of our projects. You
will be responsible for leading a team of developers undertaking Creditsafe ‘s digital transformation
to our cloud infrastructure on AWS. Your expertise in Data Engineering, Python and AWS will be
crucial in building and maintaining high-performance, scalable, and reliable systems.

 

Key Responsibilities:
 Technical Leadership: Lead and mentor a team of engineers, providing guidance and support
to ensure high-quality code and efficient project delivery.
 Software Design and Development: Collaborate with cross-functional teams to design and
develop data-centric applications, microservices, and APIs that meet project requirements.
 AWS Infrastructure: Design, configure, and manage cloud infrastructure on AWS, including
services like EC2, S3, Lambda, and RDS.
 Performance Optimization: Identify and resolve performance bottlenecks, optimize code and
AWS resources to ensure scalability and reliability.
 Code Review: Conduct code reviews to ensure code quality, consistency, and adherence to
best practices.
 Security: Implement and maintain security best practices within the codebase and cloud
infrastructure.
 Documentation: Create and maintain technical documentation to facilitate knowledge
sharing and onboarding of team members.
 Collaboration: Collaborate with product managers, architects, and other stakeholders to
deliver high-impact software solutions.
 Research and Innovation: Stay up to date with the latest Python, Data Engineering and AWS
technologies, and propose innovative solutions that can enhance our systems.
 Troubleshooting: Investigate and resolve technical issues and outages as they arise.

Qualifications:
 Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.
 Proven experience as a Data Engineer with a strong focus on AWS services.
 Solid experience in leading technical teams and project management.
 Proficiency in Python, including deep knowledge of data engineering implementation
patterns.
 Strong expertise in AWS services and infrastructure setup.
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
 Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
 Strong communication and teamwork skills.
 A passion for staying updated with the latest industry trends and technologies.

 

BENEFITS
• Competitive Salary.
• Performance Bonus Scheme.
• 20 Days Annual Leave (plus 10 bank holidays).
• Hybrid working model.
• Healthcare & Company Pension.
• Global Company gatherings and events.
• E-learning and excellent career progression opportunities.
• Gratuity
• Parents insurance and accidental insurance.
• Cab for women