Staff Data Engineer (Contract) – Hybrid, AWS & Spark Expert

WeDoTech; Greater London; Hybrid; GBP 207,000 - 272,000; Full time

Job summary

WeDoTech is seeking a Staff Data Engineer for a hybrid role in London, blending hands-on delivery with technical leadership across a major data modernisation programme. You will work across large-scale data pipelines, data products and AI-enabled engineering practices, delivering practical solutions while raising standards.

The role requires deep Python/PySpark expertise, AWS Glue experience, and a track record of guiding teams through complex migrations.

Qualifications

• Deep hands-on Python and PySpark expertise.
• Experience with AWS data engineering and AWS Glue.
• Hands-on with code and ability to lead multiple teams.

Responsibilities

• Providing Staff-level technical leadership across complex data engineering initiatives.
• Remaining deeply hands-on with Python, PySpark and Spark.
• Modernising and migrating large-scale data pipelines across AWS.
• Designing and challenging approaches across AWS Glue, Airflow and associated technologies.
• Shaping scalable data architectures, frameworks and engineering patterns.
• Supporting the development of new data products and reusable capabilities.
• Championing AI-assisted development to improve engineering quality and delivery speed.
• Raising engineering standards and capability across multiple teams.

Skills

Python

PySpark

Spark

AWS

Airflow

Data engineering

AI-assisted development

Leadership

Staff level

Tools

AWS Glue

Snowflake

Job description

WeDoTech is seeking a Staff Data Engineer for a hybrid role in London, blending hands-on delivery with technical leadership across a major data modernisation programme. You will work across large-scale data pipelines, data products and AI-enabled engineering practices, delivering practical solutions while raising standards.

The role requires deep Python/PySpark expertise, AWS Glue experience, and a track record of guiding teams through complex migrations.