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- Tasks: Design and manage data solutions using Azure and Databricks.
- Company: Leading tech firm in the West Midlands with a focus on innovation.
- Benefits: Competitive salary, car allowance, bonus, and hybrid work model.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Experience in data engineering and proficiency in Python and SQL.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer / Data Engineering / Data Consultant / Lakehouse / Delta Lake / Data Warehousing / ETL / Azure / Azure Databricks / Python / SQL / Based in the West Midlands / Solihull / Birmingham area, Permanent role, £50,000 – 70,000 + car/allowance (£5,000) + 15% bonus.
One of our leading clients is looking to recruit a Data Engineer Azure / Databricks.
Location – Hybrid/West Midlands (Birmingham/Solihull)
(Will need to be in the office 1-2 days per week so within commuting distance to Birmingham/Solihull)
Permanent role
Salary £50,000 – 70,000 + car/allowance + bonus
Experience:
Experience in a Data Engineer / Data Engineering role
Large and complex datasets
Azure, Azure Databricks
Microsoft SQL Server
Lakehouse, Delta Lake
Data Warehousing
ETL
Database Design
Python/PySpark
Azure Blob Storage
Azure Data Factory
Desirable:
Exposure ML/Machine Learning/AI/Artificial Intelligence
Data Engineer Azure / Databricks Birmingham / Solihull employer: MYO Talent
Contact Detail:
MYO Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Azure / Databricks Birmingham / Solihull
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure and Databricks. Attend local meetups or online webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data engineering, ETL processes, and any work with Azure or Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, especially around Azure and SQL. Practice explaining your past projects and how you've tackled challenges in data warehousing or ETL.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer Azure / Databricks Birmingham / Solihull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and any relevant data engineering projects. We want to see how your skills match the job description, so don’t hold back on showcasing your expertise!
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. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects: If you've worked on any projects involving large datasets, ETL processes, or Azure technologies, make sure to mention them. We’re keen to see real examples of your work that demonstrate your skills and problem-solving abilities.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at MYO Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and the other technologies mentioned in the job description. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering, especially with large datasets or ETL processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company’s Data Needs
Research the company and its data strategy. Knowing how they utilise data can help you tailor your responses and show that you're genuinely interested in contributing to their goals.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their data architecture, team dynamics, or future projects. It shows your enthusiasm and helps you gauge if the company is the right fit for you.
