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- Tasks: Architect and build data foundations for AI services in a leading legal tech firm.
- Company: Join a top legal tech firm in Greater London with a focus on innovation.
- Benefits: Enjoy 25 days of annual leave, private medical insurance, and competitive pay.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Make a real impact by supporting litigation through advanced data engineering.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, Azure fluency required.
The predicted salary is between 60000 - 80000 £ per year.
A leading legal tech firm located in Greater London is seeking a skilled Data Engineer to architect and build data foundations to support litigation. This role includes designing and deploying AI services, maintaining robust data pipelines, and ensuring data governance.
The ideal candidate should have over 5 years of experience in data engineering, particularly with Databricks, strong Python and SQL skills, and fluency in Azure services.
The position also offers competitive benefits, including 25 days of annual leave and private medical insurance.
Senior Databricks Data Engineer for AI & Governance employer: Pogust Goodhead
Contact Detail:
Pogust Goodhead Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer for AI & Governance
✨Tip Number 1
Network like a pro! Reach out to connections in the legal tech space or those who work with 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 data engineering projects, especially those involving AI and governance. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would design data pipelines or ensure data governance. We want you to be ready to impress with your problem-solving skills!
✨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 Senior Databricks Data Engineer for AI & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and SQL. 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 contribute to our mission in legal tech. Keep it concise but impactful!
Showcase Your AI Knowledge: Since this role involves designing AI services, make sure to mention any relevant experience or projects. We love seeing candidates who are not just skilled but also excited about the future of AI in data governance.
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 Pogust Goodhead
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, particularly in building data pipelines and deploying AI services. Highlight specific examples where your expertise made a difference.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've optimised queries in the past. Practising coding challenges can help you feel more confident.
✨Understand Data Governance Principles
Since this role involves ensuring data governance, make sure you’re familiar with best practices in data management and compliance. Be ready to discuss how you've implemented governance frameworks in previous roles and the impact they had on data integrity.
✨Familiarise Yourself with Azure Services
As fluency in Azure services is crucial for this position, take some time to review the key Azure tools relevant to data engineering. Be prepared to talk about how you've leveraged these services in your work, especially in relation to data architecture and AI.