Data Science Engineer – Azure | Databricks | AI Innovation
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.