Senior Data Engineer

Location - Various major Cities Across the UK - Must be UK resident - Sorry, No sponsorship

About the Role

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.

Responsibilities

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.

Required Skills

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.

Additional Information

Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Consulting
Industries: Data Infrastructure and Analytics

For more information, apply here or email me at r.kelly@ltharper.com.

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Senior Data Engineer