Analytics Engineer

Rockstar Games; Leeds; On-site; GBP 65,000 - 90,000; Full time

Job summary

Rockstar Games in Leeds is seeking an Analytics Engineer to build and scale data pipelines and analytics infrastructure. You will partner with Data Scientists and stakeholders to translate analytical needs into robust data workflows and models.

The role emphasizes performance, data quality, and CI/CD practices, with collaboration across data engineering and analytics teams in a major entertainment studio.

Qualifications

• 3+ years in analytics engineering or data engineering using Python.
• Experience building and optimizing large-scale data systems and analytics infra.
• Proficient with Databricks and Azure or equivalent cloud platforms.
• Experience with pipeline schedulers like Airflow or Astronomer.
• Experience with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
• Bachelor’s degree or equivalent in engineering or technical field.
• 3+ years hands-on SQL with analytical functions and optimized queries.
• Ability to push technologic boundaries and pursue better solutions.

Responsibilities

• Collaborate with data scientists and stakeholders to design data models and pipelines.
• Develop and maintain scalable data pipelines and ensure high performance.
• Build a Data Quality Framework with the Data Integrity team and meet SLAs.
• Perform root cause analysis and implement fixes.
• Lead best practices in code standards, version control, testing, and reviews.
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus.
• Define monitoring and alerting policies for data solutions.

Skills

Python

Data engineering

SQL

Airflow

CI/CD

Databricks

Azure

Code quality

Education

Bachelor’s degree

Tools

Terraform

Github

TeamCity

Octopus

Job description

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

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.
• Experience with PySpark.
• Passion for technical mentorship.

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.

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