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- Tasks: Build and deploy scalable data solutions using Python, SQL, and modern ETL frameworks.
- Company: Leading data solutions company in the UK with a focus on innovation.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Why this job: Join a dynamic team and make an impact in the data industry.
- Qualifications: Experience in data engineering and familiarity with airline or logistics data is a plus.
- Other info: Initial co-location in London with international travel for group-wide deployments.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions company based in the UK is seeking a data engineer skilled in Python, SQL, and modern ETL frameworks. The ideal candidate will have extensive experience in developing and deploying data solutions, ensuring scalability and maintainability. Familiarity with airline or logistics data is a plus. This role requires initial co-location with client teams in London and willingness to travel internationally in later stages for group-wide deployments.
Data Engineer — Cloud ETL & Production-Ready Pipelines employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Cloud ETL & Production-Ready Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. We want to see your ETL frameworks in action, so don’t be shy about sharing your work with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with scalability and maintainability. We’re here to help you ace those technical challenges!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to find someone who’s ready to dive into the world of airline or logistics data with us!
We think you need these skills to ace Data Engineer — Cloud ETL & Production-Ready Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and ETL frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 makes you a perfect fit for our team. We love hearing your story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in developing and deploying data solutions. We’re looking for candidates who can ensure scalability and maintainability, so let us know how you’ve done this in the past.
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 Insight International (UK) Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with modern ETL frameworks and how you've used them in past projects. Practising coding challenges can also help you feel more confident.
✨Showcase Your Experience
Prepare specific examples of data solutions you've developed and deployed. Highlight how you ensured scalability and maintainability in your projects. If you've worked with airline or logistics data, make sure to mention that too—it could give you an edge!
✨Understand the Company’s Needs
Research the company and its data solutions. Understand their client base and the types of projects they work on. This will help you tailor your answers to show how your skills align with their needs, especially regarding co-location and international travel.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team you'll be working with. Inquire about their current data challenges or upcoming projects. This shows your genuine interest in the position and helps you assess if it's the right fit for you.