Data Science Engineer

Amtis - Digital, Technology, Transformation
Birmingham
4 months ago
Applications closed

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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.


Job Details

  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting

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