Senior Data Engineer — AI-Powered Data Pipelines in the Cloud

Transform; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Holiday entitlement

Birthday day off

Pension eligibility (matched)

Life assurance

Enhanced parental leave

Cycle to work

Flexible benefits package

Job summary

Transform is seeking a Senior Data Engineer to join an Agile delivery team. You will design, build and maintain scalable data solutions that support BI, analytics and AI-driven use cases, ensuring data is accessible, secure and reliable.

Collaborate with engineers, product owners, data scientists and analysts to translate requirements into robust pipelines on cloud platforms (Azure/AWS). You will promote engineering best practices and mentor junior engineers while advancing data quality and

Qualifications

• Solid foundations in data engineering principles and best practices.
• Proven experience designing, building and delivering production-ready data pipelines.
• Strong SQL and Python expertise with reusable components.
• Experience delivering data solutions on cloud platforms such as Azure or AWS.
• Familiarity with data quality controls across data platforms and delivery lifecycles.
• Hands-on with modern data engineering services like Azure Data Factory, Databricks, Fabric or Snowflake.

Responsibilities

• Understand client needs and implement the best technical data solutions.
• Build and configure complex end-to-end data pipelines.
• Deliver in fast-paced environments where requirements evolve.
• Collaborate within agile, cross-functional teams to deliver high-quality data solutions.

Skills

Data engineering

Production-ready pipelines

SQL

Python

Data quality controls

Cloud platforms (Azure/AWS)

CI/CD knowledge

Tools

Azure Data Factory

Databricks

Fabric

Snowflake

Job description

Transform is seeking a Senior Data Engineer to join an Agile delivery team. You will design, build and maintain scalable data solutions that support BI, analytics and AI-driven use cases, ensuring data is accessible, secure and reliable.

Collaborate with engineers, product owners, data scientists and analysts to translate requirements into robust pipelines on cloud platforms (Azure/AWS). You will promote engineering best practices and mentor junior engineers while advancing data quality and