Senior Platform Engineer

JR United Kingdom; Manchester; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

An innovative company is seeking a skilled developer to join their Data Platform Engineering team, focusing on real-time analytics and microservices architecture. In this role, you will develop and maintain microservices that facilitate real-time data ingestion, enhancing the experimentation framework to support data science and machine learning operations. Collaborating closely with analytics engineers and data scientists, you'll play a crucial role in driving insights and innovation. This position offers a unique opportunity to work with cutting-edge technologies in a flexible remote environment, making a significant impact in the martech industry.

Qualifications

• Experience in developing microservices for real-time data processing.
• Solid understanding of event-driven architecture and CI/CD practices.

Responsibilities

• Develop microservices for real-time data ingestion into the data warehouse.
• Collaborate with analytics engineers to enable fast insights.

Skills

Java

Python

Event-driven architecture

CI/CD practices

Live-streaming technologies

Education

Computer Science degree

Tools

Kafka

Flink

Kinesis

Kubernetes

Cloud-based platforms

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