Company Description
At Smiths we apply leading-edge technology to design, manufacture and deliver smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. We are a FTSE100, global business of around 15,000 colleagues, based in 50 countries.
Our solutions have a real impact on lives across the planet, enabling industry, improving healthcare, enhancing security, advancing connectivity, and supporting new homes. Our products and services are often critical to our customers' operations, while our proprietary technology and high service levels help create competitive advantage.
We welcome colleagues with a curious mind, who are happy with responsibility, enjoy a challenge and are attracted by the idea of working at a business with an almost 170-year history of innovation, and four global divisions, all experts in their field.
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Responsible for designing and building the ingestion and transformation of data pipelines and maintain optimal data pipeline processes for the Smiths Group. Maintain the ingestion framework processes of data, apply security and governance of data as well as modelling to ensue data preparation is fit for purpose and protected at all times.
Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Build analytics models that utilise the data pipeline to provide actionable insights into customer needs, operational efficiency and other key business performance metrics. Assemble large, complex data sets that meet functional / non-functional business requirements.
Build AI/ML models for varied use cases across Smiths. Work closely and proactively with Smiths teams and key business partners for Delivery, Transition and Support tasks Work with data owners, and design teams to assist with data-related technical issues and support their data infrastructure needs.
Duties & Responsibilities:
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