Senior Data Engineer — Cloud Data Pipelines & AI

Transform; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Holiday entitlement 28 days + buy/sell

Birthday off

Pension eligibility

Life assurance

Enhanced parental leave

Cycle to work

Flexible benefits

Job summary

Transform is seeking a Senior Data Engineer to design, build, and maintain scalable data solutions within an Agile delivery team. You will ensure data is accessible, reliable, secure, and fit for purpose.

You'll collaborate with engineers, product owners, data analysts, and data scientists to translate requirements into robust technical solutions and champion data quality and security across cloud-based platforms.

Qualifications

• Proven experience designing, building and delivering production-ready data pipelines.
• Strong SQL and Python expertise with reusable frameworks.
• Experience designing data solutions on cloud platforms (Azure/AWS).
• Hands-on with data platforms like Azure Data Factory, Databricks, Snowflake.
• Ability to collaborate with cross-functional teams in Agile environments.
• Experience mentoring junior to mid-level Data Engineers (beneficial).

Responsibilities

• Working with clients to understand needs and implement the best data solution.
• Building and configuring complex end-to-end data pipelines.
• Delivering in fast-paced environments where requirements evolve.
• Collaborate within agile, cross-functional teams to deliver high-quality data solutions.

Skills

Data engineering principles

Production-ready pipelines

SQL

Python

Data quality controls

Cloud (Azure/AWS)

Azure Data Factory/Databricks/Snowlake

Diverse data sources

CI/CD tooling

Mentoring juniors

Vector databases/knowledge graphs

AI for development

Job description

Transform is seeking a Senior Data Engineer to design, build, and maintain scalable data solutions within an Agile delivery team. You will ensure data is accessible, reliable, secure, and fit for purpose.

You'll collaborate with engineers, product owners, data analysts, and data scientists to translate requirements into robust technical solutions and champion data quality and security across cloud-based platforms.