Senior Data Platform Engineer — Greenfield Analytics

Pulse Group; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Pulse Group is building a modern, cloud-native data platform powering analytics, AI, and real-time decisioning. You will help shape architecture, engineering standards and platform capabilities rather than merely maintaining existing solutions.

YouDesign scalable batch and streaming pipelines, leverage Kafka and Iceberg, deploy on Kubernetes, and collaborate with analytics and AI teams to deliver reliable, observable data products.

Qualifications

• Strong experience designing and operating modern data platforms.
• Expertise in Kafka and event-driven architectures.
• Commercial experience with Apache Iceberg or similar lakehouse technologies.
• Kubernetes and cloud-native engineering experience.
• Strong Python and SQL skills.
• Experience building scalable, production-grade data systems.
• Ability to contribute to architecture decisions and platform strategy.
• Comfortable working in greenfield and evolving environments.

Responsibilities

• Designing and building scalable batch and streaming data pipelines
• Developing event-driven architectures using Kafka and modern messaging platforms
• Building and maintaining cloud-native lakehouse architectures using Apache Iceberg
• Deploying and operating data workloads on Kubernetes-based platforms
• Designing reliable, observable and performant data products
• Working closely with engineering, analytics and AI teams to deliver scalable data capabilities
• Contributing to platform architecture, tooling decisions and engineering best practice
• Improving platform reliability, governance, data quality and operational excellence

Skills

Event-driven design

Cloud-native engineering

Python & SQL

Data pipelines design

Kafka expertise

Tools

Kafka

Apache Iceberg

Kubernetes

Terraform

Airflow

Dagster

PySpark

Apache Spark

Job description

Pulse Group is building a modern, cloud-native data platform powering analytics, AI, and real-time decisioning. You will help shape architecture, engineering standards and platform capabilities rather than merely maintaining existing solutions.

YouDesign scalable batch and streaming pipelines, leverage Kafka and Iceberg, deploy on Kubernetes, and collaborate with analytics and AI teams to deliver reliable, observable data products.