Senior Data Engineer

Ascendion; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Ascendion is seeking a Senior Data Engineer to design, build, and scale enterprise-grade data integration and ingestion platforms within the financial services domain. You will tackle multi-pattern data engineering across heterogeneous sources, enabling real-time and batch ingestion into a modern data platform based on Microsoft Fabric.

The ideal candidate will be fluent across relational databases, managed SQL services, blob/object storage, and flat-file integrations, ensuring performance and

Qualifications

• Senior Data Engineer with enterprise-scale data platform experience.
• Proven multi-pattern data engineering across multiple tools/technologies.
• Hands-on with Oracle, MySQL, PostgreSQL, and Azure SQL Managed Instance.

Responsibilities

• Design and build enterprise-grade data integration and ingestion platforms.
• Scale data pipelines and architectures for high volumes in regulated financial environments.
• Implement CDC/CDF approaches and real-time and batch ingestion across diverse sources.
• Collaborate across teams to ensure data quality and performance on Microsoft Fabric.

Skills

Senior Data Engineer

Multi-pattern data engineering

Strong SQL

Data modeling

Cross-functional collaboration

Tools

Oracle

MySQL

PostgreSQL

Azure SQL Managed Instance

Blob storage

Flat files

Job description

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.

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.

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.