Senior Data/ML Engineer

What you'll do

• Build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud.
• Own complex tasks in the backlog and deliver them routinely with no significant issues.
• Support other data/ML engineers to produce clean, quality code through code reviews and pair programming.
• Design, develop, and maintain scalable data/ML pipelines that adhere to ETL principles and business goals.
• Drive solution through experimentation and innovation.
• Work with the data architect to build the core data model for the organisation both from an operational and analytical perspective.
• Support the build of analytical tools that use the data pipeline to deliver actionable insights, enabling data driven decision making, operational efficiency and other key business performance metrics.
• Solve problems collaboratively, communicating decisions to customers.
• Approach, contribute and help lead product planning and roadmap with an agile mentality.
• Engage with product colleagues to improve value for the customer and to understand ambiguous requirements.
• Promote technology, innovation, values, and ways of working within the team and wider community.
• Active participation and contribution to technical forums with a focus on positive momentum.
• Coach, mentor, and develop by providing the knowledge and assets to less experienced engineers.
• Help lead initiatives to take M&S Data/ML Engineering to the next level by challenging the status quo.