Senior Data Engineer

LT Harper - Cyber Security Recruitment; Remote; GBP 90,000 - 110,000; Full time

Job summary

A leading recruitment agency is seeking a Senior Data Engineer to design and develop high-performance data solutions across the UK. The ideal candidate will lead projects involving Scala, Python, and big data frameworks, ensuring seamless integration within enterprise environments. This role involves building data pipelines, collaborating with stakeholders, and applying expertise in data modelling and distributed systems. The position offers a competitive salary of £90k - £110k and requires UK residency.

Qualifications

• Proven experience leading data engineering or integration projects for enterprise clients.
• Deep technical expertise in Scala, Python, and big data frameworks.
• Strong understanding of data modelling, ETL design, and distributed systems.

Responsibilities

• Build and optimise data pipelines using modern technologies.
• Design and implement data models and entity resolution logic.
• Collaborate with architects and DevOps specialists.

Skills

Data engineering

Scala

Python

Data pipelines

Databricks

Tools

Spark

Docker

Kubernetes

Quantexa

Job description

The Role : Senior Data Engineer

Salary - £90k - £110k

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.

For more information, apply here or email me at [e-mail].