Senior Platform Engineer

ZipRecruiter; Manchester; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

An innovative company is seeking a Senior Data Platform Engineer to join their dynamic team. This role focuses on developing microservices that handle real-time data ingestion and processing, contributing to a sophisticated martech solution. You will work closely with analytics engineers and data scientists, ensuring high-quality data delivery across platforms. With the opportunity to enhance and scale the experimentation framework, this position is perfect for those passionate about data-driven insights and cutting-edge technology. If you thrive in a collaborative environment and are eager to make an impact, this role is for you.

Qualifications

• Strong Java skills and experience with live-streaming technologies.
• Solid understanding of event-driven architecture and CI/CD practices.

Responsibilities

• Develop microservices for real-time data ingestion and analytics.
• Collaborate with data scientists for fast insights and data delivery.

Skills

Java

Kafka

Flink

Kinesis

CI/CD practices

event-driven architecture

microservices

cloud-based platforms

MLOps

Kubernetes

Education

Computer Science degree

Tools

CI/CD pipeline

Job description

Job Description

Senior Data Platform Engineer

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

Salary: £70,000 – 85,000

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
• Ensuring high-quality, accurate data delivery across data platforms
• Collaborating with analytics engineers and data scientists to enable fast insights
• Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems

This Role Requires:

• Strong Java skills
• 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