Senior Data Platform Engineer

This role will allow you to master the three pillars of every organisation: Software Engineering, Infrastructure, and Data.

Software Engineering: Develop microservices, libraries, Flink jobs, data pipelines, and Kubernetes controllers.
Stakeholder Collaboration: Work closely with both technical and non-technical stakeholders to define, design, and implement solutions within our Data Platform. Trusted relationship will be key for success.
Lead Technological Initiatives: Drive forward market-leading projects, exploring and integrating new technologies into our ecosystem.
Platform as a Product: Deliver self-serve products with strong SLAs/SLOs to the business, ensuring their scalability and reliability.
Developer Experience: Focus on optimising the developer experience to simplify platform adoption and onboarding.

What you’ll bring:
Programming Proficiency: Experience with Java, Python, or Golang with hands-on expertise in building scalable systems.
Collaboration Skills: A proven ability to collaborate effectively with a diverse set of stakeholders, aligning technical solutions with business needs. This position requires not only deep technical expertise but also a proactive, engaging approach to working with others and building lasting partnerships.
Big Data Technologies: Familiarity with tools such as Kafka, Flink, dbt, and Airflow, with a deep understanding of distributed computing and large-scale data processing systems.

Nice to Have:
Kubernetes Expertise: Experience with Kubernetes, Helm, ArgoCD, and related technologies.
Cloud Platform Proficiency: Familiarity with AWS, GCP, or Microsoft Azure, with hands-on experience building scalable, reliable data solutions on cloud platforms.
Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components.