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Senior Data Engineer
Location: London (hybrid)
Role Overview
We are seeking a Senior Data Engineer to design, build, and scale enterprise-grade data integration and ingestion platforms within the financial services and capital markets domain. The role requires multi-pattern data engineering expertise, supporting complex data movement, real-time and batch ingestion, and Change Data Capture (CDC) architectures across heterogeneous source systems into a modern data platform built on Microsoft Fabric.
This is not a single-tool or single-pattern role. The ideal candidate is a cross-pattern data engineer who can work fluently across relational databases, managed SQL services, blob/object storage, and flat-file-based integrations while ensuring performance, scalability, and data consistency at enterprise scale.
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Required Skills & Experience
- Strong experience as a Senior Data Engineer working on enterprise-scale data platforms.
- Proven expertise in multi-pattern data engineering, not limited to a single tool or technology.
- Hands-on experience with multiple source systems:
- Relational Databases: Oracle, MySQL, PostgreSQL
- Managed SQL Services: Azure SQL Managed Instance
- Storage: Blob/Object storage, flat files
- Deep understanding of CDC/CDF concepts, including:
- Primary key–based change tracking
- Timestamp-based capture
- Log-based change capture
- Latency and performance considerations under scale
- Experience designing pipelines that handle high data volumes and evolving performance requirements.
- Strong SQL skills and understanding of data modeling for analytical platforms.
- Experience integrating data pipelines into Microsoft Fabric or comparable modern data platforms.
- Ability to work across teams and domains in a regulated, data-intensive financial environment.
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Nice to Have
- Experience in capital markets, financial data platforms, or market data systems.
- Exposure to real-time or near-real-time ingestion patterns.
- Familiarity with cloud-native monitoring, observability, and data quality frameworks.
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