Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Big Data Engineer

Gaming Innovation Group
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Lead - Cloud Pipelines & Governance

Senior Data Engineer - Databricks, SQL, Azure | Remote

Senior Data Engineer - Databricks, SQL, Azure | Remote

Senior Data Engineer Databricks SQL Azure

Senior Data Engineer – Cloud & Data Platform (Hybrid)

Senior Data Engineer Databricks SQL Azure

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

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.