At a Glance
- Tasks: Join Rockstar Games to build and optimise data systems for our world-class entertainment projects.
- Company: Rockstar Games, a leader in the gaming industry with a creative and inclusive culture.
- Benefits: Competitive salary, career growth, and a vibrant work environment in Leeds.
- Why this job: Be part of a passionate team shaping the future of gaming through data insights.
- Qualifications: 3+ years in analytics engineering, strong Python skills, and a passion for gaming.
- Other info: Diverse and supportive workplace committed to equal opportunity.
The predicted salary is between 36000 - 60000 £ per year.
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar Games is on the lookout for a skilled Analytics Engineer with strong software development skills who is passionate about games and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England.
WHAT WE DO
The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.
RESPONSIBILITIES
- Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights.
- Collaborate with the Data Engineering team to design data models and data pipelines.
- Design, develop and maintain scalable data pipelines.
- Monitor performance and optimize data systems for high performance and reliability.
- Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.
- Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
- Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
- Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
- Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
- Define and implement monitoring and alerting policies for data solutions.
REQUIREMENTS
- 3+ years of experience in analytics engineering or data engineering Python.
- Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
- Experience working in Databricks & Azure environment (or other cloud equivalents).
- Experience working with pipeline scheduling tools such as Airflow & Astronomer.
- Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
- Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
- 3+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
- Ability to push the frontier of technology and freely pursue better alternatives.
PLUSES
- Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Streaming or NRT modeling experience.
- Experience with PySpark.
- Passion for technical mentorship.
HOW TO APPLY
Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
Analytics Engineer employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Rockstar Games. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to analytics engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company culture. Rockstar values creativity and collaboration, so be ready to discuss how you fit into that vibe.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the Rockstar team.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data systems, Python, and any relevant projects that showcase your skills. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about games and analytics. Share specific examples of how you've tackled challenges in previous roles, and let us know why you want to join Rockstar Games.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your experience with tools like Databricks, Azure, and CI/CD processes. We love seeing candidates who are not just qualified but also excited about technology.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Rockstar
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks and Azure. Brush up on your experience with pipeline scheduling tools like Airflow and CI/CD tools such as TeamCity and Terraform. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data-related issues or optimised data systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to troubleshoot effectively.
✨Collaborate and Communicate
Since the role involves partnering with Data Scientists and business stakeholders, be ready to talk about your collaboration experiences. Highlight how you’ve translated analytical needs into actionable insights and how you communicate complex data concepts to non-technical teams.
✨Passion for Gaming and Data
Express your enthusiasm for both gaming and data analytics. Share any personal projects or experiences that showcase your passion for the industry. This will help you connect with the interviewers and show that you’re not just looking for a job, but are genuinely excited about contributing to Rockstar Games.