At a Glance
- Tasks: Modernise large-scale data pipelines using PySpark, AWS Glue, and Airflow.
- Company: WeDoTech, a forward-thinking tech company in London.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a team that influences engineering standards and leverages AI for productivity.
- Qualifications: Experience in data engineering and cloud-native architectures.
The predicted salary is between 60000 - 75000 £ per year.
We Do Tech in London seeks a Staff-level Data Engineer to modernise large-scale data pipelines using Py Spark, AWS Glue and Airflow.
You will influence multiple engineering teams, building scalable, reusable data movement frameworks and defining standards for an enterprise-scale data programme.
The role focuses on cloud-native architectures, data testing and observability, and leveraging AI-assisted development tools to boost productivity while maintaining code quality.
On-site three days per week.
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Staff Data Engineer: Cloud Data & AI Pipelines in London employer: WeDoTech
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