Staff Data Engineer (Azure)

TL;DR

Staff Data Engineer (Azure/Python): Designing and developing scalable data pipelines and frameworks in the cloud with an accent on automation and technical leadership. Focus on building robust data solutions, defining data policies, and optimizing data workflows using Spark and Databricks.

What you will do

• Design, develop, and maintain scalable data pipelines and solutions.
• Automate data workflows within the cloud environment to improve efficiency.
• Lead the development of data frameworks and define organizational data policies.
• Provide technical leadership, conduct code reviews, and engage in pair programming with other engineers.
• Deliver key tasks from the development backlog.

Requirements

• Proficiency in Python and SQL.
• Extensive experience with Apache Spark and Databricks.
• Strong expertise in the Azure cloud ecosystem.
• Proven track record in ETL processes and data warehousing.
• Experience in providing technical leadership and mentoring engineers.

Culture & Benefits

• Comprehensive health and wellbeing support, including 24/7 virtual GP access.
• Family-oriented benefits: parental, neonatal, and adoption support.
• Financial security through a pension scheme and life assurance.
• Investment in professional growth via structured training programmes.
• Additional perks including extra holiday days, colleague discounts, and charity volunteer days.