Senior Data Platform Engineer

New
South Africa - Hybrid / United Kingdom - Hybrid / Spain - Hybrid / Romania - Remote / Poland - Remote / Portugal - RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
GCPKafkaKubernetesAirflowRedisTerraformBigQuery

Requirements

  • Proven experience building and delivering low-latency, real-time data applications.
  • Hands-on expertise with real-time/event-driven systems (e.g., Kafka, Pub/Sub).
  • Experience with in-stream processing frameworks (e.g., Apache Beam, Spark, Flink).
  • Proficiency with Infrastructure as Code (IaC) (e.g., Terraform).
  • Experience building platform capabilities for other teams.
  • Team-first mindset with a passion for mentoring.
  • Ability to collaborate effectively with cross-functional partners.

Responsibilities

  • Lead the design and delivery of complex data engineering projects.
  • Design and develop core components of our data platform.
  • Build and scale real-time data pipelines for event delivery and enable Machine Learning.
  • Embed best practices and governance into the Data Platform.
  • Develop orchestration and automation capabilities to streamline data workflows.
  • Own the estimation, planning, and execution of complex projects.
  • Write well-tested, high-quality, and performant code.
  • Mentor engineers on the team and conduct code reviews.
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