Data Engineer SQL Databricks - Fintech
Summary
Hands-on data engineer building and operating a scalable data platform for frontline finance teams: designing pragmatic data models, automating workflows, and building high-quality pipelines from external providers using Databricks, SQL, Apache Spark and Python.
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.
Pay / Benefits- 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