At a Glance
- Tasks: Develop and manage innovative AI and automation solutions to tackle real-world challenges.
- Company: Join Smiths Group, a leader in smarter engineering solutions with a global impact.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with excellent career advancement opportunities.
- Why this job: Be part of a pioneering team that shapes the future of technology and engineering.
- Qualifications: Degree-level education and experience in machine learning, Python, and data management.
The predicted salary is between 60000 - 80000 £ per year.
Company Description: Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defense, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries.
Job Purpose: Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe capabilities.
Responsibilities:
- Develop Data, AI and automation solutions.
- Test, deploy, and maintain intelligent systems.
- Collaborate with data scientists and other engineers to integrate AI into broader system architecture.
- Stay current with AI trends and suggest improvements to existing systems and workflows.
- Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions.
- Developing and managing data platform; data management; and tooling and access controls for all business and technical users.
- Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies.
- Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria.
- Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users.
- Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary.
- Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development.
- Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform.
- Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments.
- Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards.
- Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths.
- Develop documentation and training material for applications.
- Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents.
- Design and develop new analytics/models using the new data sets to expedite data analysis and reporting.
- Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures.
- Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.).
- Ensure the integrity, confidentiality, and security of all developed solutions.
- Establish rules and procedures for data sharing with upper management, external stakeholders etc.
- Create and enforce policies for effective data management.
- Support others in the daily use of data systems and ensure adherence to legal and company standards.
- Provide regular progress reports to your manager on BAU activities and progress against project deliverables.
- Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs.
- Act as a mentor to new super users within the Divisions using PowerBI technology.
- Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team.
Qualifications:
- Educated to degree level or equivalent.
- Experience with machine learning, deep learning, NLP, and computer vision.
- Proficiency in Python, Java, and R.
- Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
- Experience in Data Science techniques and methodologies.
- Azure Datalake, Databricks, Python (Azure Reference architecture).
- Excellent problem-solving skills and ability to work in a team environment.
- Thorough and proven understanding of the principles of data security, management, and administration.
- Proficient at digesting and analysing large amounts of data.
- Excellent understanding of data administration and management functions (collection, analysis, distribution etc.).
- Experience in working with offshore and onshore support model.
- Experience in working with information technology.
- Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc.).
- Good knowledge of SQL language and simple analysis techniques to profile data.
- 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, Data quality, Data Cleansing.
- Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory.
- Understanding of Big Data technologies (Hadoop, Spark).
- Able to create rich visualisations that appropriately represent the underlying datasets.
- Review and align the reporting attributes against the Enterprise and conceptual data models.
- Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
- ERP experience and implementations (nice to have).
- Excellent organisational and project management skills.
- Passionate and curious about new technology and the tech industry.
- Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group.
- General understanding of PaaS Concepts - ideally in MS-Azure.
- Cloud BI experience could be an asset.
Diversity & Inclusion: 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.
AI & Automation Data Engineer in Birmingham employer: Smiths Group
At Smiths Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our extensive training programmes and mentorship opportunities, ensuring that every team member can thrive in their career. Located in a dynamic environment, we offer competitive benefits and the chance to work on cutting-edge technology that makes a real difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Automation Data Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Smiths Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the AI & Automation Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss machine learning, Python, and Azure. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 3
Show your passion for technology and engineering during the interview. Share examples of projects you've worked on that relate to AI and automation. This will demonstrate your curiosity and commitment to solving tough problems, just like Smiths Group does!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Smiths Group.
We think you need these skills to ace AI & Automation Data Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI & Automation Data Engineer role. Highlight relevant experience and skills that match the job description, like your proficiency in Python or experience with machine learning. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our goals at Smiths Group. Keep it engaging and personal – we love hearing your story!
Showcase Your Projects:If you've worked on any cool projects related to AI, automation, or data management, make sure to mention them! Include links or descriptions that demonstrate your skills and creativity. We’re all about innovation here at StudySmarter!
Apply Through Our Website:Don’t forget to apply through our careers website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Smiths Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI frameworks like TensorFlow and PyTorch, as well as programming languages such as Python and Java. Be ready to discuss your experience with machine learning techniques and how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you've had to analyse large datasets or implement innovative solutions, and be ready to explain your thought process and the outcomes.
✨Understand Smiths Group's Vision
Familiarise yourself with Smiths Group's mission and values. Be prepared to discuss how your skills and experiences align with their goals of improving the world through smarter engineering and how you can contribute to their strategic plan.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your curiosity and interest in the role. Inquire about the team dynamics, ongoing projects, or how they measure success in the Data, AI, and Automation space. This shows you're not just interested in the job, but also in being a part of their journey.