Staff Data Engineer - Cloud Modernisation & AI Pipelines

Staff Data Engineer - Cloud Modernisation & AI Pipelines

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
WeDoTech

At a Glance

  • Tasks: Lead a global data modernisation programme using cloud-native architectures and scalable data pipelines.
  • Company: WeDoTech, a forward-thinking tech company based in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in a regulated environment.
  • Why this job: Join us to shape the future of data engineering with cutting-edge technologies.
  • Qualifications: Expertise in PySpark/Python and experience with AWS Glue, Spark, and Airflow.

The predicted salary is between 70000 - 90000 Β£ per year.

We Do Tech is seeking a Staff Data Engineer to spearhead a global data modernisation programme in London, focusing on cloud-native architectures and scalable data pipelines.

You will blend hands-on Py Spark/Python excellence with broad technical influence across multiple teams.

The role emphasizes production-grade Py Spark, AWS Glue, Spark, and Airflow, with governance and testing at the core of delivery in a regulated environment.

This is a hybrid, on-site role in London.

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Staff Data Engineer - Cloud Modernisation & AI Pipelines employer: WeDoTech

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Bristol. As a D365 F&O Solution Architect, you'll have the opportunity to lead impactful projects across Europe, with a strong focus on employee growth and development. Enjoy a competitive salary, flexible hybrid working arrangements, and the chance to shape the future of finance solutions in a supportive environment.

WeDoTech

Contact Details:

WeDoTech Recruitment Team

We think you need these skills to ace Staff Data Engineer - Cloud Modernisation & AI Pipelines

Python
SQL
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
ETL/ELT Processes