Engineering Lead (Data) - Personalised Communications & Experiences Platform
SALARY: £86,964 - £102,310
LOCATION: Bristol (Hybrid, at least two days per week in the Bristol Office)
Opportunity
Lead multi-functional engineering teams within the Personalised Experiences and Communications Platform, delivering high-quality data capabilities and leveraging cloud opportunities.
Key Responsibilities
- Team Leadership: Lead teams to develop AI/ML-driven applications for personalised customer experiences.
- Collaboration: Work with engineering heads, product managers, and architects to define and execute roadmaps.
- Mentorship: Mentor and coach engineering squads for skill development and career growth.
- Technical Solutions: Troubleshoot, debug, and resolve issues; deliver reusable technical solutions.
- Patterns & Models: Define integration patterns, data models, and contracts.
- Automation: Create tools for data reconciliation and curation; drive process automation.
- Best Practices: Implement TDD, code reviews, and CI/CD practices.
- Security & Quality: Ensure secure and high-quality software delivery.
- Cross-Team Collaboration: Build relationships and collaborate across teams.
- Inclusivity: Promote a culture of inclusivity and diversity.
Required Skills
- Proven experience in systems design, software development, testing, and operational stability.
- Expertise in automation and CI/CD.
- Proficiency in Python, Java, Rust, JavaScript, React, Angular, TensorFlow, PyTorch.
- Experience with large-scale data sets, data pipelines, and cloud platforms (AWS, Azure, Google Cloud).
- Experience in distributed systems and event-driven architecture.
- Practical experience with cloud-native solutions.
- Advanced knowledge of Docker, Kubernetes;
- Experience with GCP, Azure, or AWS.
- Strong experience with Kafka technologies.
- Clear understanding of data structures, algorithms, software design, design patterns, and core programming concepts.
- Understanding of cloud storage, networking, and resource provisioning.
- Experience in hiring and developing talent.
- Strong experience in data analysis.
- Proficiency across the data lifecycle.
It would be advantageous if you were certified in GCP Cloud Architect, Cloud Developer, Professional Data Engineer; Apache Kafka (CCDAK).
Benefits include: Up to 15% pension contribution, Annual performance-related bonus Share schemes, including free shares, Lifestyle benefits (discounted shopping), 30 days' holiday, plus bank holidays, Wellbeing initiatives and generous parental leave policies
Please send your CV in the first instance.