Data Engineer SQL Databricks - Fintech
Client Server
Overview
In this role you will shape and operate the firm's data platform to serve front office analytics and operations. You collaborate with cross-functional teams to translate data needs into scalable pipelines and data models. You’ll automate data processes, ensure data quality, and integrate data from external providers to support fast-paced decision making. This is a practical, growth-oriented capacity at a technology consultancy with a finance focus, offering hands-on impact and career development.
Pay / Benefits- bonus
- 25 days holiday
- Bupa healthcare
- generous pension contribution
- continuous career development opportunities
- social team atmosphere with events and early Friday drinks
- Build and maintain data pipelines from multiple providers to feed the core platform
- Curate and manage internal and external datasets for analytics and operations
- Design pragmatic data models and architectures suited to a fast-paced environment
- Establish and enforce data standards and quality controls across the organization
- Collaborate with front office teams to align data capabilities with business objectives
- Contribute to development and operation of the data platform leveraging in-house and third-party tools
- Identify opportunities to automate data-related processes and reduce manual interventions
- Commercial Data Engineering experience
- Experience with Databricks (ideally also Azure)
- Proficiency with SQL, Apache Spark, Python (PySpark, Pandas)
- Strong collaborative and communication skills
- Academic record: minimum 2.1 BSc from a top-tier university; AA/AB grades at A-level
- collaborative
- strong communication
- problem-solving
- Databricks
- Azure
- SQL
Reference: WJ-747_30150832