Data Science Engineer

Data Science Engineer – Azure | Databricks | AI InnovationIncrease your chances of reaching the interview stage by reading the complete job description and applying promptly.

Permanent | Birmingham (Hybrid)

Amtis is proud to partner with an advanced, data-driven organisation — a business that's not just talking about AI, but actively building intelligent systems powered by Azure, Databricks, and real-world machine learning applications.

This is a hands-on engineering role where you'll be at the core of designing, developing, and optimising modern data platforms that enable predictive analytics, AI experimentation, and large-scale automation. You'll work in an environment where data truly drives business decisions — not just dashboards.

If you're excited by high-volume, high-velocity data challenges and want to work on next-gen infrastructure that supports advanced analytics and AI workloads, this is your opportunity.

What You'll Be Doing

• Designing and building scalable, reusable data pipelines using Azure Databricks, Data Factory, and modern cloud tooling
• Developing secure, flexible data models and optimising performance across massive datasets
• Collaborating with data scientists to productionise AI models and accelerate experimentation
• Integrating diverse data sources through automated ingestion frameworks
• Driving CI/CD, version control, and testing best practices across data workflows
• Exploring AI-driven automation to enhance data accuracy, efficiency, and decision-making
• Constantly improving data architecture and processes to support innovation at scale

What We're Looking For

• Strong hands-on experience with Azure Databricks, Data Factory, Blob Storage, and Delta Lake
• Proficiency in Python, PySpark, and SQL
• Deep understanding of ETL/ELT, CDC, streaming data, and lakehouse architecture
• Proven ability to optimise data systems for performance, scalability, and cost-efficiency
• A proactive problem-solver with great communication skills and a passion for AI-driven data engineering

Apply now with your CV and contact details.