Match score not available

Senior Data Engineer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Extensive experience in data engineering with leadership in data architecture design., Deep knowledge of cloud platforms like AWS, GCP, or Azure and experience with big data ecosystems., Proficiency in SQL and Python, with familiarity in containerization technologies like Docker and Kubernetes., Strong understanding of data governance and security protocols, including GDPR compliance..

Key responsabilities:

  • Design and implement the studio's data stack for scalability and efficiency.
  • Collaborate with analytics and game development teams to create actionable insights.
  • Develop and maintain large-scale data pipelines and CI/CD processes.
  • Provide technical leadership and mentor engineers in data engineering best practices.

Build A Rocket Boy logo
Build A Rocket Boy Scaleup http://www.buildarocketboy.com/
201 - 500 Employees
See all jobs

Job description

Data is at the heart of player, product, and business insights on our titles. This critical role will build and grow the foundation for our studio in insights about our players and our business. The role will report to the Director of Data, Analytics & Insights (DAI). The person in this role is most successful when they can merge technical skill with user needs to drive highly scalable, robust CI/CD data ecosystems used to create incredible insights while helping to grow a team of amazing engineers to learn and succeed. If that’s you then we should talk!



The data engineering will work with a team of amazing engineers to deliver and manage a data stack that will fuel the whole studio on insights for our games, players, and overall business. Collaborate with internal and external teams and stakeholders to develop and deliver data solutions and capabilities that integrate with online gaming technology


Key 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 behaviour analysis, and other key business insight
  • 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:


  • 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 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



ystems.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Leadership

Data Engineer Related jobs