R&D Data Engineering Lead

• Driving the process of creating and distributing relevant policies and procedures 

• Co-operation with members from different departments to automate the data collection & transformation process, and improve the efficiency of production throughout projects; 

• Identification of data components necessary to support R&D projects and governing their full lifecycle 

• Supporting data activities by developing tools or scripts for the needs of projects; 

• Work with every studio in the group to ensure received data is adhering to required standards 

• Work with internal teams (R&D, TechArt, IT) to build and manage technical pipeline responsible for storage and transformation of the data 

• Maintain a good general knowledge of the production pipelines and tools and provide up-to-date documentation on workflow methods, pipeline systems within a centralised accessible location; 

• Collaborate with partner studios to share technology and best practices; 

• Graduates from computer science, management or related majors; 

• Basic knowledge of programming languages; 

• Ability to analyze problems and quickly deploy effective solutions; 

• Willingness and ability to write document, scripts and maintain tools; 

• Excellent verbal and written communication and strong interpersonal skills; 

• A rigorous and structured approach with strong problem-solving skills; 

• A proactive attitude and resourceful nature;  

• Technical competency in understanding the intricacies of pipelines and production tools and the ability to identify bottlenecks or other avenues for improvement; 

• Experience in managing large sets of unstructured data (e.g. images, videos) 

• An interest in safekeeping and organizing data with strong work ethics around this. 

• Good English skills; 

Pluses: 

• Previous experience in game development, especially in data management & Art related workflows 

• Experience on software used in AAA pipelines as well as version control software such as Perforce, Subversion 

• Experiences in data engineering  for data lake/ data warehouse for both on-premise and cloud 

• Passion and enthusiasm for machine & deep learning