Data Engineer
DataCareers · London, United Kingdom ·
- Category
- Data engineering
Build, maintain and improve Python data pipelines (Airflow, Spark) across Azure and Kubernetes environments for a secure MoD defence programme, working on-site in London four days a week. Active DV clearance and experience in secure defence/government data engineering are required.
We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will be joining an established defence programme requiring additional engineering support across an existing data platform.
You will be responsible for building, maintaining and improving new and existing data pipelines within a secure MoD environment.
Due to the nature of the work you will be required to work on site in London 4 days a week.
Key Responsibilities
- Build and maintain robust data pipelines using Python
- Work across Azure environments on the low side
- Support data engineering workloads within Kubernetes environments on the high side
- Develop and maintain workflows using Apache Airflow
- Work with Apache Spark for large-scale data processing
- Support the ongoing development and improvement of established data pipelines
- Help ensure data remains within MoD-owned infrastructure in line with data governance requirements
- Work within an existing long-running programme requiring additional delivery capacity
- Active DV Clearance
- Experience with Azure
- Strong knowledge of Kubernetes
- Experience with Apache Airflow
- Experience with Apache Spark
- Strong background building and maintaining production data pipelines
- Previous experience working within a Palantir environment
- Experience delivering data solutions within secure defence or government environments