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Hawk-Eye Innovations

Java Engineer - Data Platform Framework

Posted 16 Days Ago
Be an Early Applicant
In-Office
3 Locations
Mid level
In-Office
3 Locations
Mid level
The Java Engineer will develop and optimize data-intensive backend services, manage data feeds, and work on real-time insights for sports events.
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Java Engineer – Data Platform Framework

Salary Banding: £44,910 - £58,810 per annum
Contract: Full-Time, Permanent
Working Location: Hybrid, 2 Days a week in the office, minimum
Office Locations: Basingstoke, London, Bristol

Join Our Team as a Java Engineer at Hawk-Eye Innovations

Hi, I’m Peter Laszlo, Backend Discipline Lead and hiring manager for this role. I’m excited to invite you to apply for the Java Engineer position in our Data Platform Framework Squad at Hawk-Eye Innovations. If you're passionate about building scalable backend systems using cutting-edge technologies and want to work on high-impact projects for high-profile clients like the NFL or NHL, this could be the ideal role for you.

What Your Day Will Look Like

As a Java Engineer in our Data Platform Framework Squad, you'll play a key role in developing and optimising data-intensive backend services that power live sports events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights internally and to global sports leagues and partners.

You’ll work in an agile environment, collaborating with engineers across our entire backend team. Given the high-profile nature of our work, we operate in a fast-moving environment where efficiency and scalability are key to success.

What We Value

At Hawk-Eye, we believe in collaboration, ownership, and innovation. We strive to create an environment where engineers can contribute meaningfully, solve challenging problems, and improve their skills. Given the pace of work, we value engineers who can hit the ground running, take initiative, and contribute to mission-critical projects from day one.

Key Responsibilities

  • Develop, optimize, and maintain backend services using Java, leveraging internal framework components

  • Work on data pipelines that power operations for various different sports like American football or ice hockey

  • Deploy and scale applications in AWS (Lambda, S3, Apache Flink, etc.)

  • Work on event-driven architectures

  • Collaborate with other engineers in the team to meet high-impact project deadlines

  • Ensure system reliability and performance in high-traffic, real-time environments

Tech Stack and Skill Requirements

Required:

  • Strong Java (preferably Java 11 or later) experience

  • Experience with AWS

  • Familiarity with observability tools (e.g., Datadog, Prometheus, OpenTelemetry)

  • Experience with microservices and distributed systems

  • Understanding of monitoring, logging, and traceability

  • Ability to work efficiently in a fast-paced environment

Bonus Skills:

  • Experience with event-driven architectures (Kafka, RabbitMQ, SQS, etc.)

  • Experience with stream-processing concepts (Flink, Spark, Kafka Streams)

  • Knowledge of CI/CD pipelines and Infrastructure as Code (GitHub Actions, Terraform)

  • Exposure to real-time data processing and sports tech

Benefits & Perks

  • 25 days annual leave (excluding bank holidays)

  • Enhanced pension scheme with 5% matching

  • Hybrid working model

  • Complimentary Unmind wellbeing app

  • Onsite gym (Basingstoke)

  • Access to sporting events and tickets

  • Sony Group Company discounts

Equal Opportunity Employer

Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential.

Apply Today

If you’re excited by the idea of solving real-world problems at scale and want to make a difference in the world of sports tech, we’d love to hear from you.

Top Skills

AWS
Datadog
Flink
Github Actions
Java
Kafka
Opentelemetry
Prometheus
RabbitMQ
Spark
Sqs
Terraform

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