At a Glance
- Tasks: Transform complex data into actionable insights and build scalable data platforms.
- Company: Join Noble Foods, a leader in digital transformation and data innovation.
- Benefits: Competitive salary, enhanced maternity/paternity leave, wellness programmes, and discounts.
- Other info: Enjoy a dynamic work environment with opportunities for career growth and employee recognition.
- Why this job: Shape the future of enterprise data and make a real impact on business decisions.
- Qualifications: 3+ years in data platforms, strong SQL skills, and experience with cloud solutions.
The predicted salary is between 50000 - 60000 £ per year.
Do you love turning complex data into powerful business insight? We’re looking for a skilled Data Engineer to join our Digital Transformation team and help shape the future of enterprise data at Noble Foods. This is an exciting opportunity to work on scalable data platforms, modern pipelines, analytics services and cloud-based solutions that directly support strategic business decisions.
What You’ll Be Doing
- Developing and maintaining enterprise data platforms and environments
- Building robust ETL / ELT pipelines and integrations
- Designing scalable data models and cloud data solutions
- Supporting analytics and reporting initiatives across the business
- Implementing data governance and quality controls
- Monitoring platform performance, reliability and integrity
What We’re Looking For
- Minimum 3 years’ experience working with data platforms and pipelines
- Strong SQL and data modelling expertise
- Experience with cloud data platforms
- ETL / ELT development knowledge
- Python or Scala skills
- Understanding of data governance and best practice
- Experience within technology or transformation environments
What We Offer
- Competitive basic salary
- Service Awards
- Enhanced paternity and maternity
- Free life insurance
- Enhanced Sick Pay Scheme
- Access to Perkbox with a variety of discounts including a monthly freebie from Greggs or Café Nero
- Discounted eggs and chicken
- A Celebration day after 1 years service enjoy an extra day off to celebrate a life event, such as your birthday
- Access to DigiCare + - Annual Health Check, Digital GP Consultations, Nutritional Consultations, Second Health Opinion and Mental Health Consultations.
- Discounted Gym Memberships
- Free Eye Test every two years
- Discounted mobile phone contracts
- Share in our success with the People Partnership - after 6 months service you will be eligible for a yearly bonus
- Additional Allowances for First Aiders and Mental Health First Aiders
- Wellness programme
- Employee Charity Matching Scheme
Data Engineer in Lincoln employer: Noble Foods Ltd
At Noble Foods, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Digital Transformation team. Located in North Scarle, our employees benefit from competitive salaries, comprehensive wellness programmes, and unique perks such as discounted products and additional leave to celebrate personal milestones. We are committed to employee growth, providing opportunities for professional development and a supportive environment that values your contributions to shaping the future of enterprise data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Lincoln
✨Tip Number 1
Network like a pro! Reach out to current employees at Noble Foods on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data platforms, ETL/ELT pipelines, and cloud solutions. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python or Scala skills before the interview. We recommend doing some mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply 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 joining the team at Noble Foods.
We think you need these skills to ace Data Engineer in Lincoln
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data platforms, pipelines, and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've developed ETL/ELT pipelines or worked with SQL and data modelling. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how you can help shape the future of enterprise data at Noble Foods. We love seeing enthusiasm!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Noble Foods Ltd
✨Know Your Data Inside Out
Make sure you brush up on your SQL and data modelling skills before the interview. Be ready to discuss specific projects where you've built ETL/ELT pipelines or worked with cloud data platforms. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially related to data governance and quality controls. Think about a time when you improved a data process or resolved an issue with platform performance—this will highlight your analytical thinking.
✨Familiarise Yourself with Their Tech Stack
Research Noble Foods and their digital transformation initiatives. If they use specific tools or technologies, like Python or Scala, be prepared to discuss your experience with them. This shows you're genuinely interested in the role and can hit the ground running.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about their current data projects or how they measure success in their data initiatives. This demonstrates your enthusiasm for the role and helps you gauge if it's the right fit for you.
