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- Tasks: Lead the development of Azure-based data platforms and stabilise data pipelines.
- Company: Top data consultancy firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic environment with exciting platform transformation projects.
- Why this job: Make a real impact on business-critical data systems in an agile team.
- Qualifications: Strong experience with Azure Data Factory, SQL, and Python required.
The predicted salary is between 70000 - 90000 £ per year.
A leading data consultancy firm in the UK is seeking a Data Engineering Lead to take ownership of an Azure-based data platform. This hands-on role focuses on building and stabilising data pipelines while supporting a BI environment.
The ideal candidate should have strong experience with Azure Data Factory, SQL, and Python. Join a small, agile team and contribute to major platform transformations with real impact on business-critical data systems.
Lead Data Engineer Azure Pipelines & Platform Modernization employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer Azure Pipelines & Platform Modernization
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those working with Azure. 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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Be ready to discuss how you've built and stabilised data pipelines in the past, and how you can contribute to our agile team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Lead Data Engineer Azure Pipelines & Platform Modernization
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Azure Data Factory, SQL, and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Lead Data Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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 with our agile 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 built or stabilised data pipelines. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your SQL and Python Skills
Prepare to dive deep into your experience with SQL and Python. Have a couple of coding challenges or scenarios in mind that demonstrate your problem-solving abilities. Being able to articulate how you've used these languages to support BI environments will definitely impress the interviewers.
✨Understand the Business Impact
Since this role involves major platform transformations, think about how your work as a Data Engineering Lead can impact business-critical data systems. Be ready to discuss how your contributions can drive efficiency and decision-making within the company.
✨Emphasise Team Collaboration
As you'll be joining a small, agile team, highlight your experience working collaboratively. Share examples of how you've contributed to team success in previous roles, especially in fast-paced environments. This will show that you’re not just a technical expert, but also a great team player.