Senior AI Engineer

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.

Role Description:

• 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.

Responsibilities:

• Transition legacy data systems to Databricks.
• Build and maintain robust, scalable data pipelines.
• Work closely with subject matter experts, product teams, and stakeholders to understand business logic.
• Apply best practices in data engineering and programming.
• Mentor junior engineers and contribute to knowledge sharing.
• Participate in code reviews and technical discussions.

Requirements:

• 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.