Data Engineer

Kwalee Ltd
Royal Leamington Spa
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

At Kwalee, we foster an environment where creativity and collaboration come together. Specialising in both the development and publishing of casual and hybrid casual games, we also bring our creative touch to publishing PC & Console titles, ensuring a diverse and exciting gaming portfolio.

By joining our talented team in Leamington Spa, you’ll be part of a space where ideas flow freely, innovation flourishes, and team spirit stays strong. We’ve found that when we’re all together, great things happen. With over 1 billion players already reached, your work will contribute to our shared mission of making the most fun games for the world's players.

Join the team!

Our Data Engineering team are seeking a talented and experienced Data Engineer to join the team based in Leamington Spa, working on-site 5 days a week.

With high volume and a variety of data within our organisation we require an advanced expertise to ensure scalability, reliability and efficiency in our data ecosystem.

We require a person whohas designed, created, & maintained data pipelines at large scale in a given tech stack, and also understands best practices and standards and is able to review if they are being followed at team level.

Role Overview

  • Design, develop, test, and maintain Kwalee’s core data systems, including data pipelines, data warehouses and data lakes.
  • Maximise the accessibility and reliability of data for developers and users of data at Kwalee, while ensuring reasonable cost effectiveness is achieved.

Role Responsibilities

  • Design, develop, test and maintain Kwalee’s data systems.
  • Support and enable the development of new data dependent applications.
  • Design and build pipelines to reliably deliver high quality data to applications and people across Kwalee.
  • Create, manage and optimise the usage of our data warehouses. Including performance management, cost management information and user security.
  • Contribute to the design and architecture of data dependent software development projects.
  • Collaborate with the software engineering team and the technical product team to solve problems.
  • Work with stakeholders across the organisation to ensure the scalability and performance of our data infrastructure as our business evolves.

Required Skills/Experience

  • In-depth experience of applying data engineering techniques in current role.
  • Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow.
  • Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery).
  • Exposure to cloud services and their configuration (e.g AWS).
  • Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage.
  • Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver high-quality, production-grade data solutions.
  • Excellent communication and collaboration skills to work effectively within a team.
  • Experience range - 4+ years

Why Kwalee?
We believe in more than just a job—we’re committed to helping you thrive with a fantastic work-life balance and a range of great benefits! You’ll enjoy comprehensive medical cover, including dental and optical care, life assurance, and a solid pension plan. Plus, you’ll have 25 days of holiday to recharge, along with unlimited snacks and drinks to keep you energised throughout the day.Enjoy the benefits of an on-site gym, free parking, and convenient electric charging stations. We provide state-of-the-art equipment and plenty of career growth opportunities to set you up for success. And to keep things lively, we host seasonal events, regular townhalls, and share exclusive Kwalee merch. With our dog-friendly policy and a vibrant office atmosphere, there’s always something fun going on!

Our Commitment to Diversity & Inclusion
At Kwalee, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive.Our culture is built on celebrating the diverse voices of our team members, fuelling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.We recognise the importance of self-development, career progression, and well-being in retaining our talented team. At Kwalee, we celebrate individuality and encourage everyone to bring their authentic selves to work.


#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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.