Data Engineer
1 month ago
About the Role
We are seeking a passionate Staff Data Engineer to support the delivery of our data transformation. Working within a squad of data engineers, you will work with partners from across the business to implement the data strategy, delivering value to the organisation and achieving our goal of democratising data.
Key Responsibilities
- Design, build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud.
- 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.
- 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.
- Approach, contribute and help lead product planning and roadmap with an agile mentality.
- Help lead initiatives to take M&S Data/ML Engineering to the next level by challenging the status quo.
- 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.
- 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.
- Great leadership and coaching skills with the ability to develop engineering colleagues.
About You
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best.
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