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For Companies At a Glance
- Tasks: Transform legacy data systems and build scalable data pipelines on Databricks.
- Company: Leading global provider of legal and business information with a mission-driven focus.
- Benefits: Competitive salary, mentorship, career growth, and exposure to cutting-edge tech.
- Why this job: Join a high-impact team and shape the future of data engineering.
- Qualifications: Experience in software or data engineering, strong Python skills, and cloud platform knowledge.
- Other info: Collaborative culture with opportunities for skill development and innovation.
The predicted salary is between 36000 - 60000 £ per year.
About our client
Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.
About the role
We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks. This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.
As a Senior AI Engineer, you will be responsible for:
- Transitioning legacy data systems to Databricks.
- Building and maintaining robust, scalable data pipelines.
- Working closely with subject matter experts, product teams, and stakeholders to understand business logic.
- Applying best practices in data engineering and programming.
- Mentoring junior engineers and contributing to knowledge sharing.
- Participating in code reviews and technical discussions.
What you already have:
- Hands-on experience in software or data engineering roles.
- Strong proficiency in Python and working knowledge of PySpark.
- Experience or strong interest in Databricks.
- Solid understanding of SQL and structured data.
- Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).
- Familiarity with REST APIs and event-driven architectures.
- Experience using Git or similar version control systems.
- Strong problem-solving skills and collaborative mindset.
Preferred Experience:
- Experience working on data platform modernization or migration projects.
- Ability to refactor and improve legacy codebases.
- Exposure to AI/ML data pipelines is an advantage.
Why Join Us:
- Opportunity to work on a strategic, high-impact data platform transformation.
- Exposure to cutting-edge technologies including Databricks and cloud platforms.
- Collaborative, inclusive team culture with strong mentorship.
- Clear opportunities for career growth and skill development.
Senior AI Engineer employer: WhiteCrow Research
Contact Detail:
WhiteCrow Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering and AI. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience with Databricks and Python can help them transition their legacy systems.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software or data engineering roles, especially with Python and Databricks. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the work we do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems or improved existing systems. We value strong problem-solving skills, so let us know how you’ve made an impact in your previous roles!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at WhiteCrow Research
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PySpark, and Databricks. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your understanding of structured data during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in previous roles. Think about how you’ve improved legacy systems or built scalable data pipelines, as this will resonate with the interviewers looking for a Senior AI Engineer.
✨Understand the Business Context
Familiarise yourself with the client’s mission and how they support legal and regulatory frameworks. Being able to articulate how your role as a Senior AI Engineer contributes to their goals will show that you’re not just technically proficient but also aligned with their vision.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, be prepared to discuss your approach to knowledge sharing and collaboration. Share examples of how you've supported others in their learning journey, as this will highlight your leadership potential.
