Senior Platform Engineer

JR United Kingdom; Warrington; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading tech company is seeking a Senior Platform Engineer for their Data Platform Engineering team. The role focuses on developing microservices for real-time analytics and requires expertise in Kafka and cloud technologies. This position offers primarily remote work with occasional in-office collaboration, ideal for those passionate about data processing and microservices architecture.

Qualifications

• Experience with live-streaming technologies such as Kafka, Flink or Kinesis.
• Solid understanding of event-driven architecture.
• Familiarity with microservices and modern cloud-based platforms.

Responsibilities

• Develop microservices that handle real-time data ingestion from APIs into the data warehouse.
• Enhance and scale the experimentation framework to support data science and ML operations.
• Collaborate with analytics engineers and data scientists to enable fast insights.

Skills

Kafka

Flink

Kinesis

Java

Python

event-driven architecture

CI/CD practices

microservices

cloud-based platforms

MLOps

Kubernetes

Education

Computer Science degree or equivalent practical experience

Job description

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Senior Platform Engineer, warrington, cheshire

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EU work permit required:

Yes

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Job Views:

3

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Location: Primarily Remote (1 day/month in-office)

Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry.

About the Role:

Reporting directly to the Platform Engineering Manager, you'll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform.

What You’ll Be Doing:

• Developing microservices that handle real-time data ingestion from APIs into the data warehouse
• Working with live-streaming data
• Writing clean, efficient Java code (Python is a bonus!)
• Enhancing and scaling the experimentation framework to support data science and ML operations
• Collaborating with analytics engineers and data scientists to enable fast insights

This Role Requires:

• Experience with live-streaming technologies such as Kafka, Flink or Kinesis
• Solid understanding of event-driven architecture
• Experience with CI/CD practices and tools
• Familiarity with microservices and modern cloud-based platforms
• Exposure to MLOps and Kubernetes is a big plus
• Computer Science degree or equivalent practical experience