Data Engineer SQL Databricks - Fintech

In this role you will help build and operate a scalable data platform that serves frontline finance teams. You will collaborate across the business to align data capabilities with objectives, driving automation and high-quality data integration from multiple providers. You will design pragmatic data models, enforce standards, and improve data workflows in a fast-paced environment. This is a hands-on, shaping role in a growth-minded consultancy with strong career development and a collaborative culture.

• Salary up to 120k
• Bonus
• 25 days holiday
• Bupa healthcare
• Generous pension contribution
• Career development opportunities

• Understand front office data needs and align data capabilities with business objectives
• Develop and operate the firm's data platform, using in-house and third-party tools
• Automate data-related processes to streamline workflows
• Build and maintain data pipelines from external providers, ensuring high-quality data integration
• Curate and manage internal and external datasets for analytics and operations
• Design and implement pragmatic data models and architectures suited to a fast-paced environment
• Establish and enforce data standards and quality controls across the organisation

• Commercial Data Engineering experience
• Experience with Databricks; Azure experience preferred
• Proficiency with SQL, Apache Spark, and Python (PySpark, Pandas)
• Academic record with minimum 2.1 at BSc from a top-tier university
• Strong collaboration and communication skills

• collaboration
• excellent communication
• team-oriented
• Databricks
• Azure
• SQL