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- Tasks: Architect and design data platforms using Databricks and Azure Data Factory.
- Company: A leading national law firm in the UK with a focus on innovation.
- Benefits: 25 days annual leave, community volunteering opportunities, and a supportive work environment.
- Why this job: Join a dynamic team and make an impact in data engineering and machine learning.
- Qualifications: Experience in data platform engineering and strong API development skills.
- Other info: Great career growth potential in a collaborative setting.
The predicted salary is between 48000 - 72000 £ per year.
A national law firm in the UK is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. The successful candidate will architect and design robust data platforms using tools such as Databricks and Azure Data Factory, ensuring scalability and compliance.
Responsibilities include:
- Developing APIs
- Managing CI/CD pipelines
- Optimizing platform performance
This role also offers a supportive environment with benefits like 25 days annual leave and opportunities for community volunteering.
Lead Data Platform Engineer – Cloud Lakehouse & Databricks employer: Irwin Mitchell LLP
Contact Detail:
Irwin Mitchell LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer – Cloud Lakehouse & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Databricks and Azure. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data platforms and APIs. This is your chance to demonstrate your expertise and passion for the role, so make it shine!
✨Tip Number 3
Prepare for the technical interview by brushing up on your CI/CD pipeline knowledge. We all know that hands-on experience speaks volumes, so be ready to discuss your past projects and how you tackled challenges.
✨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 Lead Data Platform Engineer – Cloud Lakehouse & Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Azure Data Factory. We want to see how you've architected data platforms in the past, so don’t hold back on those details!
Showcase Your Projects: Include specific examples of projects where you developed APIs or managed CI/CD pipelines. We love seeing real-world applications of your skills, so let us know what you've achieved!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're a great fit for the Lead Data Platform Engineer role without fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Irwin Mitchell LLP
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks and Azure Data Factory. Brush up on your knowledge of data architecture and design principles, as well as any relevant APIs you've developed. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around scalability and compliance. Think of examples where you optimised platform performance or managed CI/CD pipelines effectively. This will demonstrate your hands-on experience and critical thinking.
✨Understand the Company Culture
Research the law firm’s values and community involvement. Since they offer opportunities for volunteering, be ready to share how you align with their mission and how you can contribute to their supportive environment. This shows you’re not just a tech whiz but also a team player.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of the Data Engineering and Machine Learning team. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
