Senior Data Engineer

As a Senior Data Engineer, you’ll lead the design and development of high-performance data solutions - from ingestion and transformation through to integration and insight. You’ll work directly with architects, engineers, and business stakeholders to turn ambitious ideas into scalable, production-ready systems., * Build and optimise data pipelines using modern technologies like Spark, Scala, and Python.

• Design and implement data models, entity resolution logic, and network-based insights.
• Collaborate with architects and DevOps specialists to deliver scalable, cloud-native data solutions.
• Translate complex business problems into efficient technical architectures.
• Work across data, cloud, and security teams to deliver seamless enterprise integration.

• Proven experience leading data engineering or integration projects for enterprise clients.
• Deep technical expertise in Scala, Python, and Databricks (or similar big data frameworks).
• Strong understanding of data modelling, ETL design, and distributed systems.
• Experience with data tools such as Quantexa is a must.

Preferred Skills

• Experience with Financial Services, Fraud Detection, AML, or KYC solutions.
• Familiarity with DevOps pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Hands-on knowledge of Docker, Kubernetes, and data governance frameworks.