Data Engineering TL - Framework Team

Description

We are seeking a highly skilled and motivated Team Leader to head our Framework Team (Data DevOps), a group that plays a pivotal role in developing and maintaining the core components of our Data Platform. This team is responsible for delivering robust automation, efficient CI/CD pipelines, and scalable frameworks that empower data engineering and analytics across the organization.

As a Team Leader, you will guide a team of engineers, foster technical excellence, and ensure the timely delivery of high-quality solutions. You will work closely with infrastructure and data teams to evolve and optimize our technology stack with a strong emphasis on reliability, performance, and security.

What you’ll be doing:

Leadership & Team Management

• Lead, mentor, and develop a team of framework engineers.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Manage workload distribution, prioritize tasks, and ensure timely, high-quality delivery.

Technical Ownership

• Oversee the design, development, and maintenance of Generic Framework, an in-house solution built on DBT and used across the data platform.
• Establish and enforce best practices for CI/CD pipelines, process automation, and infrastructure as code.
• Drive enhancements in monitoring, alerting, and overall observability of technical processes.

Platform Maintenance & Enhancements

• Build and maintain CI/CD pipelines for data platform components.
• Automate repetitive tasks to improve operational efficiency and reliability.
• Develop and evolve generic frameworks that support data engineering workflows.
• Monitor technical processes and ensure proactive issue detection and resolution.
• Collaborate on new feature development, platform scalability, and architectural improvements.
• Manage patching, rolling updates, and ongoing maintenance of the data platform’s technology stack.
• Optimize the performance and reliability of frameworks, automation tools, and platform services.

Collaboration & Stakeholder Management

• Partner closely with data engineering and infrastructure teams to align frameworks with business and technical needs.
• Clearly communicate progress, risks, and technical decisions to relevant stakeholders.

Core Technologies

• Version Control & CI/CD: GitLab
• Data Transformation & Orchestration: DBT, Airflow
• Programming & Scripting: Python, Jinja, Bash (limited)
• Infrastructure & Cloud: Terraform, AWS (S3, Lambda, API Gateway, MSK)
• Containerization: Docker
• Data Platform: Snowflake
• Monitoring & Observability: New Relic
• Testing & QA: Behave
• Secrets Management: AWS Secrets Manager

Requirements

What we’re looking for:

• Technical Expertise: Strong hands-on experience with Python, CI/CD tooling, and cloud infrastructure (AWS preferred).
• Leadership: Demonstrated ability to lead technical teams and oversee complex, cross-functional projects.
• Problem-Solving: Strong troubleshooting skills with the ability to diagnose and resolve issues across multiple layers of the technology stack.
• Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts clearly.
• 5+ years of experience in data engineering, platform engineering, DevOps, or related technical roles.
• 2+ years of experience in a leadership or team lead capacity.

Nice-to-Have

• Experience working with modern data platforms such as Snowflake.
• Familiarity with observability and monitoring tools (e.g., New Relic).
• Knowledge of behavior-driven development frameworks (e.g., Behave).

What we offer:

Our roles offer more than just a job, you’ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:

• Financial: Competitive salary
• Hybrid working: Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up!
• Holiday entitlement: You’ll be entitled to 22 annual leave days, plus