Lead Data/ML Engineer

What you'll do

• Design, build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud
• Provide technical leadership to a small squad of engineers
• Own complex tasks in the backlog and deliver them routinely with no significant issues
• Lead in the development of M&S standard data/ML frameworks and policies, ensuring that they are understood and adopted
• 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 as a culture
• 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
• Assist with recruitment and new starter on-boarding activities
• Help lead initiatives to take M&S Data/ML Engineering to the next level by challenging the status quo

Who you are

• Demonstrable leadership mentality, business acuity, and big-picture approach
• Expertise in cloud-based data technologies and data warehousing design principles, preferably Azure
• Expert in design/build/administration of end-to-end data/ML solutions
• Demonstrable experience with ETL tools, e.g. Databricks, SQL
• Advanced knowledge with schema design and dimensional data modelling, automation processes
• Expertise in building end-to-end ML systems and ML Lifecycle (Feature engineering, monitoring, testing, deployment)
• Expertise in ML and AI concepts
• Demonstrable experience with Python/SQL/Spark
• Proven expertise with distributed version controls systems like GitHub
• Expert in Continuous integration and Continuous Delivery
• Proficiency of documenting solution design technical decisions and recommendations.
• Ability to work with senior stakeholders, understand requirements and communicate progress.
• Great leadership and coaching skills with the ability to develop engineering colleagues
• Excellent written and verbal communication skills