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- Tasks: Design and manage data solutions using Azure and Databricks for impactful projects.
- Company: Join a leading IT services firm with a focus on innovation.
- Benefits: Competitive salary, car allowance, bonus, and opportunities for growth.
- Why this job: Be at the forefront of data engineering and AI technology in a dynamic environment.
- Qualifications: Experience with large datasets, SQL, Python, and data warehousing.
- Other info: Permanent role based in Birmingham/Solihull with excellent career advancement potential.
The predicted salary is between 40000 - 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, £ + car/allowance (£5,000) + 15% bonus.
One of our leading clients is looking to recruit a Data Engineer – Azure / Databricks.
Location: West Midlands (Birmingham/Solihull) – Will need to be in the office 1-2 days per week so locally based.
Experience
- Data Engineer / Data Engineering role experience
- 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 to ML/Machine Learning/AI/Artificial Intelligence
Permanent role. Salary £ + car/allowance + bonus.
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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. 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 projects with Python, SQL, and ETL processes. 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 common data engineering questions. Think about how your experience with large datasets and database design can solve real-world problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 is tailored to the Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 great fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your technical skills like SQL, Python, and ETL processes. We love seeing candidates who can demonstrate their expertise with large datasets and data warehousing. Make it easy for us to see your strengths!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Let’s get started on this journey together!
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 tools mentioned in the job description. Brush up on your SQL, Python, and ETL processes. Being able to discuss your experience with large datasets and data warehousing will show that you’re a strong candidate.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of database design and data engineering principles. Practice explaining your past projects and how you’ve used technologies like PySpark or machine learning in real-world scenarios. This will help you demonstrate your problem-solving skills.
✨Showcase Your Soft Skills
While technical skills are crucial, don’t forget to highlight your communication and teamwork abilities. Data Engineers often collaborate with other teams, so be ready to share examples of how you’ve worked effectively with others to achieve project goals.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the company’s data strategy or upcoming projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
