Data Lead Artificial Intelligence & Automation
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.
Job Description
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 utilize 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. 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.
Responsibilities:
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
- Optimize existing ETL process and employing a variety of data ingestion and data preparations tools, or write code such as PySpark, SparkSQL and Python
- Manage & Maintain CDC and Data Catalogue processes
- Creating and maintaining analytical extracts
- Identify Sensitive and confidential datasets and use appropriate framework methods to protect the data
- Monitoring of key azure functions and critical jobs as well as components within the Smiths Data Lake
- Assigning and provisioning Azure resources within the Smiths Data Subscription
- Raise Microsoft and Azure related tickets using Microsoft support processes
- Work closely with Information Architect to ensure data curation remains line with Enterprise Data Model Standards.
- Continue to maintain existing Oracle and SQL services in BIS data centers and support to keep lights on.
- Keep our data separated and secure.
Qualifications
- Candidate should possess relevant experience of min. 4 years into Azure Cloud Services
- Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance
- Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Data bricks, Data Lake, Logic Apps and Data Factory
- Experience migrating or transforming legacy solutions to Public Cloud desirable
- Understanding of Big Data technologies (Hadoop, Spark)
- Familiarity with infrastructure considerations for data and system integration
- Broad knowledge of the design and implementation of applications' build, release, deployment, and configuration activities:
- Analytical thinking and strong communication skills
- Ability to work with business owners to ensures analytics solutions meet business requirements
- A good understanding of data Security and privacy technologies
- Experience in Python
- Experience in working with offshore and onshore support model
- Experience in BI tools (Power BI) – Good to have knowledge
- ERP experience and implementations (nice to have)
- Azure DevOps (CI/CD) – Good to have knowledge
- Strong Written and verbal communication skills
Additional Information
Why Smiths?
- Be Part of Something Big: As we expand our footprint across APAC and MEA, you’ll play a key role in building the teams that will define our future.
- Growth Opportunities: At Smiths, we believe in your growth as much as our own. You’ll have the chance to shape your career and expand your leadership capabilities in an ever-evolving global landscape.
- Collaborative Culture: Join a diverse, collaborative team where innovation and fresh ideas are encouraged.
- Work-Life Balance: Enjoy flexible working arrangements and a supportive work environment.
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.
At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website (Careers - Smiths Group plc)