Lead Data Platform Engineer (Java)

Looking to start a new challenge as a freelancer? Get in touch now.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

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.
• Strong hands-on Java 11/17 development 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.

Interested? Apply immediately!

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