Data Automation Engineer for AI-Ready Pipelines (Hybrid)

Network IT Recruitment Limited; Milton Keynes; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

Talantir in Milton Keynes is recruiting a Data Engineer (AI and Automation) to design, build, and optimise automated data pipelines across Azure and on-prem environments. Hybrid work with 3 days in-office weekly, focusing on scalable analytics and AI-ready data.

The role requires hands-on experience delivering end-to-end data solutions, with exposure to AI-enabled workflows and data governance. You will collaborate with global teams, solution architects, and data stakeholders to advance the

Qualifications

• Proven experience delivering automated end-to-end data engineering solutions.
• Advanced SQL skills with performance tuning on large datasets.
• Python or R for data processing and analytics.
• Hands-on with cloud and on-prem data integration tools like Azure Data Factory and Databricks.
• Strong data modelling, warehousing, and relational database experience.

Responsibilities

• Design and maintain fully automated end-to-end data pipelines.
• Ensure secure, reliable data ingestion, transformation, and delivery.
• Implement AI-enabled automation and optimisation opportunities.
• Prepare AI-ready data models and datasets for analytics and ML use cases.
• Monitor and optimise data operations, with incident management and governance considerations.
• Contribute to CI/CD, orchestration, and platform enhancements for scalable data foundations.

Skills

Advanced SQL

Python

Azure Data Factory

Databricks

Data modelling

Data warehousing

Data integration

Agile / DevOps

Tools

Azure Data Factory

Databricks

MS SQL Server

Job description

Talantir in Milton Keynes is recruiting a Data Engineer (AI and Automation) to design, build, and optimise automated data pipelines across Azure and on-prem environments. Hybrid work with 3 days in-office weekly, focusing on scalable analytics and AI-ready data.

The role requires hands-on experience delivering end-to-end data solutions, with exposure to AI-enabled workflows and data governance. You will collaborate with global teams, solution architects, and data stakeholders to advance the