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- Tasks: Lead data engineering projects and mentor a dynamic team in a cutting-edge environment.
- Company: Top-tier data consulting firm in the UK with a focus on innovation.
- Benefits: Competitive salary up to £80,000 and excellent benefits package.
- Why this job: Shape the future of data engineering while working with modern cloud technologies.
- Qualifications: Expertise in Azure, Databricks, Terraform, and ML Ops required.
- Other info: Join a collaborative team and drive impactful data solutions.
The predicted salary is between 48000 - 64000 £ per year.
A leading data consulting firm in the United Kingdom is seeking a Principal Data Engineer to influence data engineering and mentor a growing team. You will work closely with DevOps and business partners to create secure data pipelines and facilitate the transition to a modern cloud stack.
Strong expertise in Azure, Databricks, and Terraform is essential, alongside skills in containers and an understanding of ML Ops.
The offer includes a competitive salary up to £80,000 alongside excellent benefits.
Principal Data Engineer — Azure, Databricks & IaC Lead in Leeds employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer — Azure, Databricks & IaC Lead in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work 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, especially those involving Terraform and ML Ops. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle challenges related to secure data pipelines and cloud transitions. We want you to shine when it’s your turn to impress!
✨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 Principal Data Engineer — Azure, Databricks & IaC Lead in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Terraform. 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 passionate about data engineering and how you can influence our team. We love hearing personal stories that connect your experience to our mission.
Showcase Your Mentoring Skills: Since this role involves mentoring, share examples of how you've guided others in the past. We’re looking for someone who can inspire and lead a growing team, so let us know how you’ve done that before!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Databricks, and Terraform knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since the role involves mentoring a growing team, think of examples where you've successfully guided others. Prepare to share how you approach teaching complex concepts and fostering a collaborative environment.
✨Understand the Business Side
It's not just about the tech! Familiarise yourself with how data engineering impacts business outcomes. Be prepared to discuss how you've aligned technical solutions with business goals in previous roles.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Think through potential challenges in creating secure data pipelines or transitioning to a modern cloud stack, and be ready to articulate your thought process.
