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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 a real impact in data engineering and machine learning.
- Qualifications: Experience in data platform engineering and familiarity with CI/CD pipelines.
- Other info: Great career growth potential in a collaborative setting.
The predicted salary is between 43200 - 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks or Azure Data Factory. A friendly chat can open doors and give you insights that might just land you that Lead Data Platform Engineer role.
✨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 field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with CI/CD pipelines and performance optimisation. We want you to feel confident and ready 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 Lead Data Platform Engineer – Cloud Lakehouse & Databricks in London
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 application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're the right fit for the role.
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!
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 platforms, APIs, and CI/CD pipelines. Being able to discuss specific projects where you've used these tools will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around scalability and compliance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Understand the Company Culture
Research the law firm’s values and community involvement. Be ready to talk about how you can contribute to their supportive environment and any volunteering initiatives they have. 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 team. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.
