At a Glance
- Tasks: Build and optimise data pipelines for impactful projects across various industries.
- Company: Oliver Bernard, a forward-thinking company in Newcastle.
- Benefits: Competitive salary, hybrid work model, and great benefits.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and make a difference with your data skills.
- Qualifications: Strong programming skills and experience with large datasets required.
The predicted salary is between 45000 - 55000 £ per year.
Oliver Bernard in Newcastle is seeking a talented Data Engineer to join their Data & Analytics team. You will work on high-impact data projects across industries including Financial Services, Energy, and Retail, building and optimising data pipelines while supporting data collection and analysis.
The ideal candidate has strong programming skills, experience with large datasets, and a degree in a quantitative field. The position offers a competitive salary package with benefits and a hybrid working model.
Data Engineer | Build Data Pipelines & Insights (Hybrid) in Newcastle upon Tyne employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our Data Engineers to thrive. Located in the vibrant city of Newcastle, we offer competitive salaries, comprehensive benefits, and a hybrid working model that promotes work-life balance. Our commitment to employee growth is evident through continuous learning opportunities and involvement in high-impact projects across diverse industries, making us an excellent employer for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Build Data Pipelines & Insights (Hybrid) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving data pipelines and analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with large datasets and programming languages. Practising common data engineering interview questions can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Data Engineer | Build Data Pipelines & Insights (Hybrid) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills and experience with large datasets. We want to see how your background aligns with the high-impact data projects we work on!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of projects you've worked on that relate to Financial Services, Energy, or Retail.
Showcase Your Technical Skills:Don’t forget to mention any relevant tools or technologies you’ve used in your previous roles. We love seeing candidates who are familiar with the latest data pipeline technologies!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Tools
Make sure you’re familiar with the data tools and technologies mentioned in the job description. Brush up on your programming skills, especially in languages like Python or SQL, as they are crucial for building and optimising data pipelines.
✨Showcase Your Projects
Prepare to discuss specific projects where you've worked with large datasets. Highlight your role in these projects, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Industries
Since the role involves working across various industries like Financial Services, Energy, and Retail, do some research on how data is used in these sectors. Being able to speak knowledgeably about industry-specific data challenges can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team’s current projects, the tools they use, or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
