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Senior Platform Engineer

Harnham

Manchester

Hybrid

GBP 40,000 - 80,000

Full time

21 days ago

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Job summary

An innovative firm is seeking a skilled Recruitment Consultant specializing in Data Engineering. This role is pivotal in developing microservices for real-time data processing and analytics, utilizing cutting-edge technologies. You will work closely with a team of analytics engineers and data scientists, enhancing the experimentation framework to support data science and machine learning operations. This opportunity offers a dynamic work environment where you can leverage your expertise in Java and live-streaming technologies while contributing to a sophisticated martech solution. If you're passionate about data engineering and thrive in a collaborative setting, this position is perfect for you.

Qualifications

  • Experience with live-streaming technologies and event-driven architecture.
  • Solid understanding of CI/CD practices and microservices.

Responsibilities

  • Developing microservices for real-time data ingestion and analytics.
  • Collaborating with analytics engineers for fast insights.

Skills

Java
Python
Event-driven architecture
Live-streaming technologies
CI/CD practices

Education

Computer Science degree

Tools

Kafka
Flink
Kinesis
Kubernetes
Snowflake

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Recruitment Consultant - Data Engineering (North and Midlands) at Harnham

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:

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

This Role Requires:

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

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

Telecommunications

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