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: Dynamic role with a focus on governance and testing 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 in London employer: WeDoTech
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