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- Tasks: Build and maintain data pipelines for a cutting-edge enterprise data platform.
- Company: Leading data technology company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: 4+ years in data engineering, strong Python and SQL skills required.
- Other info: Collaborative environment with a focus on continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
A leading data technology company in the United Kingdom is seeking a Data Engineer to build and maintain data pipelines for their enterprise data platform. The ideal candidate will have 4+ years of experience in data engineering, strong skills in Python and SQL, and be familiar with tools like Microsoft Fabric and Azure Databricks.
The role involves:
- Ensuring data quality
- Optimizing datasets
- Supporting customer deployments
This position offers opportunities for collaboration and continuous improvement in a dynamic environment.
Data Platform Engineer — Pipelines, Lakehouse & AI Data in Fleet employer: Quantios
Contact Detail:
Quantios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer — Pipelines, Lakehouse & AI Data in Fleet
✨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 help us land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We want to see your work in action, so don’t be shy about sharing your GitHub or any relevant projects on our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you’ve tackled data quality issues in the past. We’re looking for real-world examples that highlight your problem-solving abilities.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows us that you’re genuinely interested in the role and helps keep you top of mind as we make our decisions.
We think you need these skills to ace Data Platform Engineer — Pipelines, Lakehouse & AI Data in Fleet
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. 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. Let us know what excites you about working with tools like Microsoft Fabric and Azure Databricks.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data quality or optimised datasets. We love seeing how you approach problems and come up with innovative solutions!
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 Quantios
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building data pipelines. Familiarity with Microsoft Fabric and Azure Databricks will definitely give you an edge!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data quality and dataset optimisation. Think about a time when you improved a process or solved a tricky issue—this will demonstrate your ability to contribute to continuous improvement.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Understanding their approach to data technology will help you align your answers with their goals and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.