Data Engineer

SEGA
united kingdom
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Creative Assembly is looking for a Data Engineer to join the Data Platform Team in our studio based at our headquarters in Horsham, in the heart of West Sussex. This role is suitable for someone with at least two years of experience in a data engineering role. It offers the chance to grow technically and work on cutting edge projects that improve player experiences through the use of data. Key Responsibilities The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of:

AWS Kinesis  Databricks DLT  PowerBI / Fabric  SQL Server

On a day-to-day basis, you will:

Develop and maintain new and existing data pipelines. Collaborate on the implementation and ingestion of game telemetry for new products. Work with analysts, data scientists, and other data consumers to produce useful data models and efficient pipelines. Empower high quality data governance by keeping accurate and clear documentation on our data sources, tables, and business logic.

Knowledge, Skill and Experience Essential

A strong understanding of SQL along with demonstrated knowledge of modern data engineering processes, concepts and life-cycle  Experience using Python for data manipulation and transformation  Experience using modern data platforms like Databricks or Snowflake to do the above  Experience working with large-scale, event-driven data sets  Love gaming and is interested in supporting the game development process  Passionate about helping enable teams to transform data into valuable insights 

Desirable

Experience working with enterprise data warehouse or data lake platforms Experience working with a cloud platform such as AWS Have used PySpark for data manipulation  Previous exposure to game or IoT telemetry events and how such data is generated  Knowledge of best practices involving data governance, privacy and security  An understanding of Git source control, CI/CD pipelines and how to implement them in a data engineering setting 

About Creative Assembly
Creative Assembly crafts deep and detailed games that last, entertaining millions of players across the globe for decades.
 
We are all game makers and we care deeply about the experiences we create. We empower our teams to make significant contributions to our games, supported by skills development and growth opportunities.
 
We are located in Horsham, UK and Sofia, Bulgaria.
We offer many benefits to support you and your family including:

Work from Anywhere for a temporary period each year (restrictions apply such as VISAs) Enhanced holiday allowance, maternity and paternity breaks, flexibility with our core hours, and no-notice holidays Bespoke relocation package for you and your dependents Private medical and dental insurance, life insurance, permanent health insurance, critical illness cover and free health care screening Generous holiday allowance plus full studio closure over the Christmas and New Year period, and all Bank holidays Join our Diversity and Inclusion Network – an employee-led group Season ticket travel loans and cycle to work scheme with free bike servicing and discounted car valet service on site Wellbeing support and virtual confidential counselling Community activities including parties, football and more. Our studio sites have disabled access. Hybrid working We are an equal opportunities employer and encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion or belief.

Note to Recruitment Agencies: SEGA Europe Limited and our studios do not accept unsolicited candidate introductions from unauthorised third parties. For the avoidance of doubt, SEGA Europe is not liable for any fees, compensation or any other costs associated with the introduction of a candidate or recruitment services unless and until an agreement has been duly executed. Further details can be .

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.

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.

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.

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.