BCE Data Engineering Chapter Lead

Be at the forefront of innovation at a Chapter Lead - Data Engineering, where you will lead a team of data engineers, drive the development and maintenance of our data infrastructure, and ensure the delivery of high-quality data solutions tailored to body chassis engineering. This is part of our deliberate growth as department to be increasingly data driven and make the huge amounts of valuable data more discoverable and accessible. This role requires a blend of technical expertise, leadership skills, and strategic thinking. This will not only involve supporting the squad(s) within Body Chassis Engineering but will be a key role in establishing the chapter and relevant solutions across the organisation.,

• Works with Chapter members to facilitate inputs into a Body of Knowledge as it relates to the Chapter, facilitating proper usage of standardised tools and methods.
• Develop BCE Strategic approach to Data Engineering, including both identification of future needs of the department and the technical capabilities and resource to support it
• Work with other areas of the business to ensure BCE needs are represented in future strategic developments e.g. Business wide use of loggers, changes to cloud services, data ingestion mechanism, cloud platform choices etc.
• Serves as a coach and advisor to squads, remaining close enough to stay connected to product development and the application of their Chapter, while maintaining distance to allow them to problem-solve on their own
• Responsible for facilitating performance management for a number of chapter members, defining and implementing effective development plans and holding continuous performance discussions throughout the year
  
  Previous experience leading projects/teams in data engineering or digital data platform
• Previous experience and knowledge of applicable programming languages, scripts and databases
• Experience implementing cloud solutions on AWS platforms
• Experience with database architectures, ETL, big data and distributed storage technologies such as Amazon S3
• Experience with dynamic resource management frameworks such as Kubernetes, Apache Spark
  
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