We are working with a leading global Financial Services business to hire a Senior Data Engineer into their growing data engineering practice. This is a hands-on technical role sitting at the centre of a major enterprise data platform build, with scope to influence architecture, drive pipeline development, and contribute to AI initiatives across a complex, high-volume financial data environment.

Responsibilities:

Design and develop scalable data solutions on a Lakehouse architecture platform, supporting enterprise-wide data processing and analytics
Build, optimise, and maintain ETL/ELT pipelines and structured streaming workflows for both batch and real-time data ingestion
Configure and tune clusters and Spark jobs to deliver consistent performance at scale
Utilise Delta Live Tables and Unity Catalog to manage data ingestion, transformation, and access governance
Apply IAM best practices and maintain compliance with data security standards across the platform
Support infrastructure provisioning and resource management using Terraform
Implement monitoring frameworks covering pipeline performance, data quality, and operational health
Contribute to code reviews, technical documentation, and team knowledge-sharing
Work within an Agile delivery model, collaborating closely with data scientists, analysts, and business stakeholders
Explore emerging technologies and AI tooling to enhance development productivity and platform capability

6+ years in data engineering, with at least 2 years hands-on experience with Databricks
Strong Python and Spark programming skills
Solid AWS experience across core services including S3, Glue, and Lambda
Deep understanding of data modelling, SQL, and ETL/ELT design patterns
Experience with Delta Lake, Lakehouse architecture, and Git-based version control
Demonstrable use of AI tools within a professional development workflow
Strong communication skills and the ability to work effectively across technical and non-technical teams

Desirable:

Financial services or fund administration background
Exposure to AI/ML implementation patterns and real-time data processing frameworks
Multi-cloud experience beyond AWS
API development or data governance framework experience
Experience mentoring junior engineers

Salary: to be discussed, depending on experience

Length: Permanent contract

Senior Data Engineer

Job Description