National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Big Data Engineer

Gaming Innovation Group
Manchester
1 month ago
Create job alert

1 month ago Be among the first 25 applicants

As part of the Big Data Team, you will be using cutting-edge technologies to work on collating data across different sources within GiG. Sources are all in real-time, and you will support an event-driven microservice Lambda architecture.

Your focus is to work with the current agile team, contribute to the platform's objectives, and enable other data technology stakeholders such as Business Intelligence, Data Science, and Quality Assurance teams. You will be challenged to maintain and add new features to a platform that ingests up to 5000 messages per second across multiple products like Lottery, Sports, and Casino.

Reporting to the Lead Big Data Engineer and supported by the Big Data Architect, you will follow best practices and deliver world-class product increments supporting our Tier 1 Platform.

You're really awesome at:

  • Object-oriented programming (Java)
  • Data modeling using various database technologies
  • ETL processes (transferring data in-memory, moving away from traditional ETLs) and experience with Apache Spark or Apache NiFi
  • Applied understanding of CI/CD in change management
  • Dockerized applications
  • Using distributed version control systems
  • Being an excellent team player
  • Meticulous and passionate about your work

You're also good at:

  • Functional programming (experience with Python, Scala)
  • Analytical mindset
  • Low latency databases such as ClickHouse
  • Holding a Bachelor's Degree in Computer Science or equivalent
  • Collaborating in scoping exercises
  • Mentoring skills
  • Working with Linux and Windows environments

What will you get in this role?

You'll share your ideas and knowledge, and if we're a good match, we'll support you with a competitive salary and industry perks like daily lunch. You'll also work with top industry talent.

Benefits:

  • Great career development opportunities
  • 100% remote or hybrid working model
  • International Health Insurance
  • Health and Wellbeing Package (€350 per year)
  • Birthday Day Off
  • Me Time - 1 day off per year
  • Free lunches in the office

Additional Information

  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: IT Services and IT Consulting


#J-18808-Ljbffr

Related Jobs

View all jobs

Big Data Engineer

Big Data Engineer

Big Data Engineer

Lead Data Engineer

Senior/Lead Big Data Engineer (Scala/Spark)

Lead Big Data Engineer - Contract

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.