At a Glance
- Tasks: Design and develop data pipelines to enhance game insights and analytics.
- Company: Join Electronic Arts, a leader in next-level entertainment experiences.
- Benefits: Enjoy competitive pay, healthcare, remote work options, and personal growth opportunities.
- Why this job: Be part of a creative team that shapes the future of gaming through data.
- Qualifications: 4+ years in data engineering with strong SQL and cloud database skills.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 Β£ per year.
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data. You will collaborate with the Game and Product teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games.
You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics. You will work with leaders from an internal Game Studio, providing them with data for understanding game and player insights and report to the Technical Lead for this group. This is a hybrid role based in our Southam office.
Key Responsibilities:- As a Data Engineer you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights.
- You will gather requirements, model and design solutions to support product analytics, business analytics and advance data science.
- Design efficient and scalable data pipelines using cloud-native and open source technologies.
- Develop and improve ETL/ELT processes to ingest data from diverse sources.
- You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation.
- You will support production code to produce comprehensive and accurate datasets.
- Automate deployment and monitoring of data workflows using CI/CD best practices.
- You will promote strategies to improve our data modelling, quality and architecture.
- Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.
- Document data processes, architecture, and workflows for transparency and maintainability.
- You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools.
- 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions.
- Experience in data modelling and tools such as dbt, ETL processes, and data warehousing.
- Experience with at least one of the programming languages like Python, C++, Java.
- Experience with version control and code review tools such as Git.
- Knowledge of latest data pipeline orchestration tools such as Airflow.
- Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation).
- Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
- Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).
- Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar.
- Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark.
- Experience working on a mobile game or a mobile app data features, ideally from early stages of the product life cycle.
- Experience with product analytics solutions (e.g. Amplitude, Mixpanel).
- Experience with mobile attribution solutions (e.g. Appsflyer, Singular).
- Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams.
- Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics.
About Electronic Arts: Weβre proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Data Engineer in Guildford employer: Electronic Arts
Contact Detail:
Electronic Arts Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer in Guildford
β¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even gaming events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
β¨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to data engineering. Use GitHub to share your code and demonstrate your expertise in SQL, ETL processes, and any cool data visualisations you've done. This will make you stand out!
β¨Ace the Interview
Prepare for technical interviews by brushing up on your SQL queries and data pipeline knowledge. Practice common interview questions and be ready to discuss your past projects in detail. Remember, confidence is key!
β¨Apply Through Our Website
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Electronic Arts.
We think you need these skills to ace Data Engineer in Guildford
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, ETL processes, and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Donβt forget to mention any cool projects you've worked on that relate to gaming or data insights.
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills clearly. Mention your proficiency in programming languages like Python or Java, and any experience with tools like Airflow or dbt. We love seeing those details!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itβs super easy, and it helps us keep track of all applications. Plus, we canβt wait to see what you bring to the table!
How to prepare for a job interview at Electronic Arts
β¨Know Your Data Engineering Basics
Brush up on your data engineering fundamentals, especially around ETL processes and data modelling. Be ready to discuss your experience with SQL queries and cloud-based databases like Snowflake or Redshift, as these are crucial for the role.
β¨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you designed efficient data pipelines or automated workflows, and be ready to explain your thought process.
β¨Familiarise Yourself with Tools and Technologies
Make sure you're up to speed with the latest tools mentioned in the job description, such as Airflow for orchestration and Git for version control. Being able to discuss your hands-on experience with these tools will set you apart.
β¨Engage with the Team's Vision
Research Electronic Arts and their games to understand their data needs. Be prepared to discuss how your skills can contribute to their goals, particularly in enhancing player insights and game analytics. Showing genuine interest in their projects can make a big difference.