Senior Data Engineer
Location: Remote working (Once a month in Oxford)
Salary: 80k + competitive benefits package
Role Overview:
Our client is seeking a Senior Data Engineer to elevate their data infrastructure's reliability and scalability. Reporting to the Data & Analytics Director, you will drive the development of a larger data mesh setup while managing end-to-end DataOps/DevOps processes in a dynamic, small team. This role will focus on improving data ingestion, processing, and infrastructure, primarily within Databricks, and ensuring the quality and stability of the entire system.
Key Responsibilities:
- Enhance data infrastructure for stability and reliability
- Manage data ingestion pipelines (ADF, Python)
- Oversee Kubernetes deployments (Airflow, Superset, RStudio Connect)
- Support Data Analytics via DBT, deployment rules, and DevOps
Skills & Experience:
- Expertise in Azure/Databricks/Delta Lake
- Proficiency in Kubernetes, Terraform, and Infrastructure as Code
- Strong knowledge of Azure DevOps
- Innovative, with a focus on simplicity and transparency
Benefits:
- Flexible hours, hybrid working, generous holiday package
- Private medical insurance, pension scheme, volunteering day, and more
- Regular social events and a strong focus on career development
Join our client in revolutionizing the home-moving experience!
