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- Tasks: Lead a small team to build and optimise Azure-based data pipelines.
- Company: Dynamic tech consulting firm in York with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative environment with significant ownership and career advancement.
- Why this job: Make a real impact on business-critical data systems and platform transformations.
- Qualifications: Strong experience with Azure Data Factory, SQL, and Python required.
The predicted salary is between 60000 - 80000 £ per year.
A tech consulting firm in York is seeking a Data Engineering Lead to manage a growing Azure-based data platform. This hybrid position offers significant ownership in a small team, focusing on building and optimising data pipelines and architecture.
Candidates should possess strong experience with:
- Azure Data Factory
- SQL
- Python
Join us to contribute to major platform transformations and have a direct impact on business-critical data systems.
Data Engineering Lead: Azure Pipelines & Modernisation employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead: Azure Pipelines & Modernisation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure and 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 work with Azure Data Factory, SQL, and Python. This can be a game-changer during interviews, as it gives us tangible proof of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges related to data pipelines and architecture. We want to see how you think on your feet!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Engineering Lead: Azure Pipelines & Modernisation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineering Lead position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've built or optimised data pipelines. We’re looking for someone who can tackle challenges head-on, so share those success stories that demonstrate your expertise!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Corecom Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory skills. Be ready to discuss how you've used it in past projects, and think of specific examples where you optimised data pipelines. This will show your depth of knowledge and practical experience.
✨SQL Skills Are Key
Prepare to demonstrate your SQL prowess. You might be asked to solve a problem on the spot, so practice writing queries and optimising them. Having a few success stories about how your SQL skills improved data handling can really set you apart.
✨Python Proficiency Matters
Since Python is crucial for this role, be ready to talk about your experience with it. Think of projects where you used Python for data manipulation or automation. If you can share code snippets or explain your thought process, that’ll impress the interviewers.
✨Show Your Leadership Potential
As a Data Engineering Lead, you'll need to showcase your leadership skills. Prepare to discuss how you've managed teams or projects in the past. Highlight your ability to mentor others and drive a team towards achieving goals, especially in a hybrid work environment.