Lead Data Platform Engineer
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What you will do
- Own the technical vision and evolution of core Data Platform components.
- Design and develop scalable, resilient and secure platform services.
- Define engineering standards, reusable patterns and reference architectures for data processing, storage and pipelines.
- Lead technical decisions and contribute to architecture and design reviews.
- Drive complex, cross-team technical initiatives from planning through production.
- Ensure platform reliability through observability, monitoring, performance engineering and proactive incident prevention.
- Lead root-cause analysis and implement systemic improvements following major incidents.
- Guide and mentor engineers, raising engineering quality and technical autonomy.
- Coordinate technical contributions across multiple engineers or teams.
- Contribute to platform roadmaps, technical feasibility assessments and prioritisation.
- Translate complex technical topics into clear recommendations for non-technical stakeholders.
- Promote knowledge sharing, documentation, reuse and continuous engineering improvement.
What you bring
- 10+ years of professional software/systems development experience, including significant technical leadership experience.
- Solid experience in data engineering and data platform development.
- Hands-on experience with Kubernetes or OpenShift, including containerised deployments.
- Practical experience with Helm.
- Experience with large-scale object storage such as Amazon S3 or an equivalent platform.
- Hands-on experience with Kafka or Spark.
- Good understanding of data lakes, data warehouses and Medallion architecture.
- Strong experience with Git, Maven and CI/CD, ideally including Jenkins.
- Understanding of PKI, SSL/TLS and certificate-based authentication.
- Strong Unix/Linux scripting skills; Python is an advantage.
- Experience working in Agile/Scrum environments.
- Strong communication skills and the ability to mentor engineers and influence technical decisions.
- Comfortable working with distributed, multicultural teams.
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