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For Companies At a Glance
- Tasks: Transform legacy data systems and build scalable data pipelines using Databricks.
- Company: Leading global provider of legal and business information with a mission-driven focus.
- Benefits: Competitive salary, mentorship opportunities, and exposure to cutting-edge technologies.
- 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 familiarity.
- Other info: Collaborative culture with clear paths for career growth and skill development.
The predicted salary is between 48000 - 72000 £ 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 in London employer: WhiteCrow Research
Contact Detail:
WhiteCrow Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Databricks or AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining our team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI Engineer role. Highlight your hands-on experience with Python, Databricks, and any relevant projects you've worked on. We want to see how you can contribute to our data engineering team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission. Don’t forget to mention your interest in modernising data platforms and working collaboratively with teams.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles. Whether it's refactoring legacy code or building scalable data pipelines, we love to see your thought process and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at WhiteCrow Research
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data engineering and cloud platforms like AWS.
✨Understand the Business Logic
Since the role involves working closely with subject matter experts and stakeholders, take some time to research the company’s mission and how they use data to support legal and regulatory processes. This will help you demonstrate your understanding of their business needs during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you improved legacy systems or built scalable data pipelines, as this aligns perfectly with what they’re looking for.
✨Be Ready to Mentor
As a Senior AI Engineer, you'll be expected to mentor junior engineers. Be prepared to talk about your mentoring experiences and how you approach knowledge sharing. This shows that you’re not just technically skilled but also a team player who values collaboration.
