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- Tasks: Design and build data pipelines, ensuring optimal processes and security for data management.
- Company: Join a FTSE100 global leader in engineering solutions with a rich history of innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact by solving tough problems and enhancing lives through data-driven insights.
- Qualifications: Experience in data engineering and a passion for tackling complex challenges.
The predicted salary is between 50000 - 60000 £ per year.
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 ensure 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.
Data Engineer employer: Smiths Group
Contact Detail:
Smiths Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Smiths on LinkedIn or through industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. Demonstrating your data pipeline expertise can set you apart from the crowd.
✨Tip Number 3
Prepare for those technical questions! Brush up on your data engineering concepts and be ready to discuss how you’d tackle real-world problems. Smiths loves a curious mind, so don’t shy away from showing your thought process.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Smiths team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at Smiths. Highlight your experience with data pipelines, security, and governance, as well as any relevant projects that showcase your skills in building analytics models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working at Smiths and how your background aligns with their mission of solving tough problems. Don’t forget to mention your curiosity and willingness to take on responsibility!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills related to data ingestion, transformation, and AI/ML models. Mention specific tools and technologies you’ve worked with, as this will show we’re serious about our craft and ready to tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us, so we can see your enthusiasm for joining the Smiths team!
How to prepare for a job interview at Smiths Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around data pipelines and ETL processes. Brush up on the specific tools and technologies mentioned in the job description, as being able to discuss them confidently will show your genuine interest and expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed or optimised data pipelines, and be ready to explain your thought process and the impact of your solutions.
✨Understand Smiths' Impact
Familiarise yourself with Smiths’ mission and the industries they serve. Being able to articulate how your role as a Data Engineer can contribute to their goals will demonstrate that you’re not just looking for any job, but are genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the company and the role. Inquire about the data challenges they currently face or how they envision the future of data engineering at Smiths. This not only shows your interest but also helps you gauge if the company is the right fit for you.