| Company | Build A Rocket Boy |
| Job title | Senior Data Engineer |
| Job location | Edinburgh, Scotland |
| Type | Full Time |
Responsibilities:
- Help design, architecture, and implementation of the studio’s data stack, ensuring scalability, efficiency, and alignment with both technical and business goals.
- Collaborate with analytics and game development teams to create broader insights and build data systems that provide valuable, actionable information.
- Participate in all stages of agile software development and lifecycle management, including design, implementation, testing, deployment, and maintenance.
- Develop near real-time and batch-based data processing frameworks to support live game operations, player behavior analysis, and other key business insights.
- Build and maintain large-scale data pipelines, ensuring high performance and low latency across diverse data sets.
- Design and implement continuous integration and continuous delivery (CI/CD) pipelines to automate deployment and streamline processes.
- Develop tools and software that enhance our ability to capture, process, and analyze data at scale, improving decision-making for all teams.
- Oversee the integration of data security, ensuring compliance with GDPR, PII policies, and best practices in data governance.
- Provide technical leadership on data engineering projects, setting standards, guiding architecture decisions, and ensuring delivery aligns with the studio’s strategic goals.
- Mentor and lead on data engineering in the studio, fostering a collaborative environment of innovation, technical excellence, and continuous learning.
- Stay ahead of industry trends in data engineering and apply cutting-edge practices and technologies to maintain our data infrastructure’s competitiveness and efficiency.
Requirements & Skills:
- Extensive experience in data engineering, with demonstrated leadership in designing and managing data architectures at scale.
- Product-focused mindset with a passion for understanding the games we create and how data can enhance both player experience and business performance.
- Demonstrated expertise in data architecture patterns, including experience building CI/CD data stacks and optimizing data infrastructure for scale and performance.
- Deep knowledge of cloud platforms (AWS, GCP, or Azure) and experience deploying large-scale data systems in a cloud environment.
- Significant experience with cloud-based big data ecosystems such as Snowflake and familiarity with modern data infrastructure tools like DBT, Airflow, and Kafka.
- Proficiency in SQL & Python is required; experience with Java or Scala is a plus.
- Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration systems for deploying and maintaining applications.
- Strong experience with Linux/Unix systems, including scripting (bash) and managing production environments.
- Proven expertise in ETL/ELT pipeline development and working with large, diverse data sets at scale.
- Strong experience with agile methodologies, turning user stories into actionable engineering tasks, and driving impactful development through collaboration with product owners.
- Knowledge of data governance, security protocols, and best practices related to GDPR, PII, and other data privacy regulations.
- Ability to build strong relationships across teams, empowering engineers and stakeholders through clear communication and collaboration.
Preferred Qualifications:
- Previous experience leading data engineering efforts within the gaming industry or other fast-paced, data-driven environments.
- Experience in data visualization tools (e.g., Tableau, Looker, Power BI) and the ability to interpret and present complex data insights in a user-friendly way.
- Experience working on projects that involve real-time telemetry, player behavior analytics, or other high-volume, real-time data applications.
- Demonstrated success in leading or contributing to the consolidation of data systems.
