Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support the Domain API by managing metadata and ensuring data compliance.
- Company: Join a leading tech staffing agency with a focus on innovation.
- Benefits: Enjoy a hybrid work schedule, competitive pay, and growth opportunities.
- Other info: Great opportunity for career advancement in a collaborative team.
- Why this job: Make an impact in data engineering while developing your skills in a dynamic environment.
- Qualifications: Basic Python skills and knowledge of data modelling required.
The predicted salary is between 40000 - 50000 £ per year.
A tech staffing agency is seeking a Data Engineer to support the delivery of the Domain API by ensuring compliance with enterprise data standards. This client-facing role requires a mix of communication skills and foundational knowledge in data modelling, along with basic Python proficiency.
The successful candidate will manage metadata catalogues and validate data lineage, structure, and compliance with governance policies. The position is based in Telford with a hybrid work schedule.
Data Engineer: Metadata Mastery & API Data Modelling in Telford employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Metadata Mastery & API Data Modelling in Telford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any Python scripts you've written. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since this role is client-facing, practice explaining complex data concepts in simple terms. It’ll show you're not just a tech whiz but also a great communicator.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer: Metadata Mastery & API Data Modelling in Telford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your foundational knowledge in data modelling and any experience you have with Python. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with metadata catalogues and data lineage, as these are key aspects of what we’re looking for.
Communicate Clearly: Since this is a client-facing role, it’s important to demonstrate your communication skills. Use clear and concise language in your application to show us you can convey complex ideas effectively.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Experis
✨Know Your Data Modelling Basics
Brush up on your data modelling concepts before the interview. Be ready to discuss how you’ve applied these principles in past projects, especially in relation to metadata management and compliance with data standards.
✨Show Off Your Python Skills
Even if you're not a Python expert, make sure you can talk about your experience with it. Prepare to share examples of how you've used Python for data manipulation or automation tasks, as this will demonstrate your foundational knowledge.
✨Communicate Clearly and Confidently
Since this is a client-facing role, practice articulating your thoughts clearly. Think about how you would explain complex data concepts to someone without a technical background, as effective communication is key in this position.
✨Understand Governance Policies
Familiarise yourself with common data governance policies and be prepared to discuss how you ensure compliance in your work. This shows that you take data integrity seriously and understand its importance in a business context.