At a Glance
- Tasks: Design and maintain scalable data pipelines while collaborating with global teams.
- Company: Join Rockstar Games, a leader in innovative game development.
- Benefits: Competitive salary, creative environment, and opportunities for professional growth.
- Why this job: Make a real impact on the future of gaming through data-driven insights.
- Qualifications: 5+ years in analytics or data engineering with strong software skills.
- Other info: Dynamic studio atmosphere in the heart of London with excellent career advancement.
The predicted salary is between 48000 - 72000 £ 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 Senior 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 London.
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
- 5+ years of experience in analytics engineering or data engineering Python and PySpark.
- 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.
- 5+ 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
Please note that these are desirable skills and are not required to apply for the position.
- 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.
- 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.
#J-18808-Ljbffr
Senior Analytics Engineer employer: Rockstar Games
Contact Detail:
Rockstar Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Rockstar or similar companies. Attend meetups, webinars, or gaming events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially any that relate to gaming or big data. This will give you an edge and demonstrate your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of data pipelines. Be ready to discuss your past experiences and how they relate to the role of a Senior Analytics Engineer.
✨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 genuinely interested in joining the Rockstar team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Your Passion for Data and Games: When writing your application, let your enthusiasm for both data and gaming shine through. We want to see how your interests align with our mission at Rockstar, so share any relevant projects or experiences that highlight this passion.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for in a Senior Analytics Engineer.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on showcasing your key achievements and skills that relate directly to the role. Remember, less is often more!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Rockstar Games
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data and analytics tools mentioned in the job description. Brush up on your experience with Databricks and be ready to discuss specific projects where you've built or optimised data systems.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you partnered with Data Scientists or other stakeholders to translate analytical needs into actionable insights.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've tackled data-related issues in the past. Prepare a couple of scenarios where you performed Root Cause Analysis and implemented fixes, showcasing your analytical thinking and technical skills.
✨Familiarise Yourself with Best Practices
Understand the importance of code standards, version control, and CI/CD processes. Be prepared to talk about how you’ve contributed to establishing best practices in your previous roles, as this will show your commitment to quality and efficiency.