At a Glance
- Tasks: Build and optimise Azure data pipelines while supporting migration to Azure Data Lake.
- Company: Join Tria, a high-impact data team in London with a collaborative culture.
- Benefits: Enjoy a hybrid working model and a competitive salary of up to £45,000.
- Other info: Focus on professional growth and innovation in a dynamic team.
- Why this job: Make a real impact in data engineering and grow your skills in a supportive environment.
- Qualifications: Strong SQL and ETL/ELT experience, plus knowledge of Python and Azure.
The predicted salary is between 45000 - 45000 € per year.
Tria is looking for a Data Engineer to join their high-impact data team in London. This role offers a hybrid working model and a salary of up to £45,000.
You will build and optimise Azure data pipelines and support the migration into Azure Data Lake.
The ideal candidate will have strong SQL and ETL/ELT experience along with knowledge of Python and cloud platforms like Azure.
Join a collaborative environment focused on professional growth and innovation.
Data Engineer — Azure Pipelines & Data Quality (Hybrid) in London employer: TRIA
Tria is an excellent employer, offering a dynamic and collaborative work culture that prioritises professional growth and innovation. With a hybrid working model based in London, employees benefit from a supportive environment that encourages skill development in cutting-edge technologies like Azure, while enjoying a competitive salary and the opportunity to make a significant impact within the data team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Azure Pipelines & Data Quality (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tria on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Azure data pipelines and SQL prowess. This hands-on evidence can set us apart from the crowd during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers, especially around ETL/ELT processes and Python. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we can tailor our application to highlight how we fit into Tria's collaborative and innovative culture.
We think you need these skills to ace Data Engineer — Azure Pipelines & Data Quality (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL, ETL/ELT experience, and any relevant projects you've worked on with Azure. We want to see how your skills align with the role, so don’t hold back!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your work with Azure data pipelines or Python that showcase your expertise.
Showcase Your Problem-Solving Skills:In your application, mention any challenges you've faced in previous roles and how you overcame them. We love seeing candidates who can think critically and innovate, especially in a collaborative environment like ours.
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 updates from us!
How to prepare for a job interview at TRIA
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, ETL/ELT processes, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with Azure
Since the role focuses on Azure data pipelines and Data Lake, it’s crucial to understand Azure's architecture and services. Dive into Azure documentation or tutorials to get a solid grasp of how to build and optimise data pipelines.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle data quality issues or migration challenges, and be prepared to explain your thought process clearly.
✨Show Your Collaborative Spirit
Tria values a collaborative environment, so be ready to share examples of how you've worked effectively in teams. Highlight your communication skills and how you contribute to a positive team dynamic, especially in hybrid settings.
