Information Technology

Role & Responsibilities:

·  Design, develop and lead delivery of the Data Science Platform and associated capabilities.

·  Drive and sustain interactions with our community of technologists to describe & own the work produced by the team, including promoting, implementing, and delivering tools for proper platform and engineering practices, approaches, and technologies.

·  Collaborate with other delivery stakeholders (cloud infrastructure, data engineering, enterprise data) to identify and integrate shared components and capabilities (data access, data cataloguing, lineage tracking).

·  Drive design, peer code reviews, delivery planning and preparation of releases for the platform and insight products.

Key Skills & Experience:

·  Experience designing, developing, and delivering software products on cloud platforms (AWS preferably) for data science and machine learning workflows such as Kedro, Metaflow.

·  Very good knowledge of Python, its ecosystem, and tools such as Jupyter, Pandas, Numpy, PyTest, venv, pip

·  Experience with approaches such as infrastructure as code, serverless, containerisation.

·  Experience developing data transformation and feature engineering workflows with best practices for data versioning, cataloguing, lineage tracking. Leveraging tools and frameworks such as: Spark, Dbt, Dagster, Prefect.

·  Ability to work using Agile principles and frameworks and experience in product-oriented development.