Staff Data Platform Engineer — Real-Time Pipelines & Infra

The Consensus

United Kingdom

Remote

GBP 110,000 - 170,000

Full time

14 days+
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Job summary

Kpler's Data Platform tribe builds tooling and datasets that underpin our products, delivering scalable real-time and batch data pipelines for geospatial data. You will drive architectural decisions and champion reliability, observability, and end-to-end ownership across cloud-based infrastructure.

The Staff Engineer role involves mentoring engineers, aligning priorities, and collaborating with product and domain stakeholders to deliver high-impact data initiatives.

Qualifications

  • 10+ years of experience in data or software engineering roles, with DevOps exposure.
  • Strong backend/data/distributed systems foundations; significant Java experience.
  • Proven experience with streaming tech: Kafka or Flink.
  • Ability to translate business priorities into technical/delivery outcomes with stakeholders.
  • Deep understanding of distributed systems and architectural trade-offs.
  • Significant use of AI agents in professional work.
  • Cloud environment experience (AWS, GCP, Azure).
  • Excellent written and spoken English.

Responsibilities

  • Design, develop and maintain real-time and batch data pipelines.
  • Improve reliability and observability; own operational excellence of data pipelines.
  • Own cloud-based infrastructure; build it and run it.
  • Manage data products with diverse stakeholders.
  • Provide strategic and technical leadership; mentor engineers.
  • Understand complex domain with multiple cross-team dependencies.
  • Own features end-to-end.

Skills

10+ years experience
Java
Kafka
Flink
Stakeholder collaboration
Distributed systems
AI agents
Cloud (AWS/GCP/Azure)
English
Spark
Terraform
Pulumi
Python
Scala

Job description

Kpler's Data Platform tribe builds tooling and datasets that underpin our products, delivering scalable real-time and batch data pipelines for geospatial data. You will drive architectural decisions and champion reliability, observability, and end-to-end ownership across cloud-based infrastructure.

The Staff Engineer role involves mentoring engineers, aligning priorities, and collaborating with product and domain stakeholders to deliver high-impact data initiatives.

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