Senior Data Engineer

LT Harper - Cyber Security Recruitment; England; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading recruitment agency is looking for a Senior Data Engineer to design and develop high-performance data solutions across various major cities in the UK. Candidates must have proven data engineering experience, strong skills in Scala and Python, and familiarity with big data frameworks like Databricks. This full-time role involves collaborating with technical teams to deliver scalable data solutions. Applicants must be UK residents, as no sponsorship is available.

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 like Spark.
• Design and implement data models and entity resolution logic.
• Collaborate with architects and DevOps specialists to deliver data solutions.

Skills

Data engineering experience

Scala

Python

Databricks

Data modelling

ETL design

Distributed systems

Quantexa

Tools

Docker

Kubernetes

Jenkins

GitHub Actions

Azure DevOps

Job description

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 [e-mail].

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