At a Glance
- Tasks: Design and develop ETL/ELT pipelines in a hybrid work environment.
- Company: Join Mitie Cleaning & Hygiene Services, a leader in innovative data solutions.
- Benefits: Enjoy flexible lifestyle benefits, financial wellbeing support, and training opportunities.
- Other info: Perfect for those seeking a dynamic role with growth potential.
- Why this job: Make an impact by working with data from multiple sources and implementing governance standards.
- Qualifications: Degree in a quantitative field and 3 years’ experience in Data Engineering required.
The predicted salary is between 50000 - 60000 € per year.
Mitie Cleaning & Hygiene Services is seeking a Data Engineer to design and develop ETL/ELT pipelines in a hybrid work environment. The successful candidate will work on data ingestion from multiple sources and implement data governance standards.
A degree in a quantitative field and a minimum of 3 years’ experience in a Data Engineering role are required, along with expert SQL skills and strong Python experience.
Benefits include a flexible lifestyle benefits platform, financial wellbeing assistance, and various training opportunities.
Hybrid Data Engineer — ETL, Azure & Data Lakehouse employer: Mitie Cleaning & Hygiene Services
Mitie Cleaning & Hygiene Services is an excellent employer that fosters a dynamic and inclusive work culture, offering a hybrid work environment that promotes flexibility and work-life balance. Employees benefit from a comprehensive lifestyle benefits platform, financial wellbeing assistance, and ample opportunities for professional development, making it an ideal place for those looking to grow their careers in data engineering while contributing to meaningful projects.
Contact Detail:
Mitie Cleaning & Hygiene Services Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer — ETL, Azure & Data Lakehouse
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 ETL/ELT projects, especially those involving Azure and Data Lakehouse. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Engineer — ETL, Azure & Data Lakehouse
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python expertise in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with ETL/ELT pipelines and data governance standards to show us you’re the perfect fit for our team.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 us!
How to prepare for a job interview at Mitie Cleaning & Hygiene Services
✨Know Your ETL/ELT Inside Out
Make sure you brush up on your ETL and ELT pipeline knowledge. Be ready to discuss your previous projects, the tools you used, and how you tackled challenges. This will show that you’re not just familiar with the concepts but have practical experience.
✨Show Off Your SQL Skills
Since expert SQL skills are a must for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios beforehand to feel confident.
✨Highlight Your Python Experience
Python is key in data engineering, so be prepared to talk about your experience with it. Bring examples of scripts or applications you've developed, and if possible, discuss how you’ve used Python for data manipulation or automation in past roles.
✨Understand Data Governance Standards
Familiarise yourself with data governance principles, as they are crucial for this position. Be ready to discuss how you’ve implemented these standards in your previous work and why they matter in a data engineering context.
