Senior Data Engineer

LT Harper - Cyber Security Recruitment; Remote; GBP 90,000 - 105,000; Full time

Job summary

A prominent recruitment firm is seeking a Senior Data Engineer to lead the design and development of high-performance data solutions in the UK. The ideal candidate will possess strong expertise in Scala, Python, and data tools like Quantexa. Responsibilities include building and optimizing data pipelines, ensuring seamless integration, and translating complex business problems into efficient architectures. This role offers a competitive salary range of £90k - £105k, and is suitable for UK residents only.

Qualifications

• 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 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 to deliver scalable, cloud-native data solutions.

Skills

Spark

Scala

Python

Data modelling

ETL design

Data integration

Quantexa

Education

Degree in Computer Science, Data Engineering, or a related technical field

Tools

Databricks

Docker

Kubernetes

Jenkins

GitHub Actions

Azure DevOps

Job description

Senior Data Engineer

Salary - £90k - £105k

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

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.

What You’ll Do

• 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.

What You’ll Bring

• 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.

Bonus 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.
• Degree in Computer Science, Data Engineering, or a related technical field.

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