Data & AI Engineer

• Build data pipelines and transformations using Python, SQL and PySpark.
• Develop scalable data solutions using Databricks, Spark and Delta Lake.
• Explore and implement AI capabilities, including Databricks Apps and Genie.
• Build and test prototypes using real-world business data.
• Evaluate AI solutions and identify opportunities for improvement.
• Work closely with clients and technical teams to deliver practical solutions.

• Strong experience in data engineering.
• Excellent Python, SQL and PySpark skills.
• Hands-on Databricks experience.
• Knowledge of Spark and Delta Lake.
• Experience with Databricks Apps, Genie or emerging AI technologies.
• Understanding of generative AI and its practical applications.
• Strong communication and problem-solving skills.

Desirable:

• Unity Catalog and data governance experience.
• Azure or Microsoft data platform experience.
• Power Platform or Power Automate knowledge.
• Experience building AI-powered applications.

• 25 days annual leave plus bank holidays.
• Hybrid and flexible working.
• Generous pension contribution.
• Private healthcare and life insurance.
• Wellbeing allowance and mental health support.
• Ongoing training and professional development.

One of my good clients, a leading IT consultancy + AI Solutions company are looking for an experienced Data & AI Engineer to help build modern data solutions and explore the latest AI capabilities.

You’ll work with one of their clients to develop trusted data products, build robust data pipelines and create prototypes using Databricks’ latest features, including Apps and Genie.