Lead Data Platform Engineer - DataOps
Nottingham, Eng Hybrid
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About the role
We are seeking a Lead Data Platform Engineer to own the resilience, scalability, and security of our core financial data ecosystem. This is a senior, hands-on engineering role for a technical expert who thrives on the unique challenge of designing, building, and running high-throughput, mission-critical batch and real-time data platforms in a regulated cloud environment. You won’t just be maintaining pipelines; you will be driving the strategic evolution of our data infrastructure. Your mission is to build automated, self-healing platforms that eliminate operational toil, reliably support next-generation AI workloads, and ensure the seamless flow of highly sensitive financial data. To succeed, you need a comprehensive understanding of cloud architecture and the technical depth to not only engineer sophisticated platform solutions but clearly articulate the why behind your choices to both engineering teams and stakeholders.
What you'll bring
- A Platform or SRE Background: You have a solid background in platform engineering, site reliability (SRE), or data operations
- AWS Experience: You have a strong working knowledge of AWS and cloud-first data pipeline orchestration tools (like Airflow, Glue, or EMR).
- A Security Mindset: You understand the importance of compliance and security when managing sensitive data pipelines.
- Strong Automation Skills: You are highly comfortable using Python and Shell scripting to automate systems, manage dependencies, and handle large batch environments.
- A Great Collaborator: You enjoy mentoring others, can coordinate smoothly with distributed teams (onsite/offshore), and can explain technical concepts to non-technical stakeholders.
- ideally within a large-scale or regulated environment.