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- Tasks: Design data foundations for AI applications and build scalable ETL/ELT pipelines.
- Company: Global engineering firm with a focus on innovation and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Influence data strategies for high-impact projects in a dynamic environment.
- Qualifications: 6+ years of data engineering experience, strong SQL and Python skills.
- Other info: Join a collaborative team and work with cutting-edge technologies.
The predicted salary is between 43200 - 72000 £ per year.
A global engineering firm is seeking a talented Data Engineer to join their team in Warrington, UK. This full-time role involves designing data foundations for AI applications, building ETL/ELT pipelines, and ensuring data quality and governance.
The ideal candidate will have over 6 years of experience in data engineering, with a strong command of SQL and Python. Proficiency in cloud services and modern data processing frameworks is essential.
The position offers immense opportunities to influence data strategies for high-impact projects.
Data Engineer – AI Practice: Scalable Pipelines in Warrington employer: American Bureau of Shipping
Contact Detail:
American Bureau of Shipping Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – AI Practice: Scalable Pipelines in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering prowess, especially with SQL and Python. This can really set us apart during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ETL/ELT pipeline knowledge and cloud services. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide tips along the way.
We think you need these skills to ace Data Engineer – AI Practice: Scalable Pipelines in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 you can contribute to our AI practice. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since this role involves building ETL/ELT pipelines and working with cloud services, make sure to mention any specific tools or frameworks you’ve used. We’re keen to know how you’ve tackled data quality and governance in your past roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at American Bureau of Shipping
✨Know Your Data Engineering Basics
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building ETL/ELT pipelines. Having specific examples at hand will show your expertise and confidence.
✨Familiarise Yourself with Cloud Services
Since proficiency in cloud services is essential for this role, take some time to review the platforms you’ve worked with. Be prepared to explain how you’ve leveraged cloud technologies in your previous roles to enhance data processing and governance.
✨Showcase Your Problem-Solving Skills
Data engineering often involves tackling complex challenges. Think of a few scenarios where you successfully solved a data-related problem. Discuss your thought process and the impact of your solutions on the project or team.
✨Understand the Company’s Data Strategy
Research the global engineering firm and their approach to data strategies. Knowing their recent projects or initiatives can help you tailor your answers and demonstrate your genuine interest in contributing to their high-impact projects.
