Analytics Engineer: Build Scalable Data Pipelines

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

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.