Data Engineer

Location: Hybrid / Redheughs Rigg, Edinburgh EH12 9DQ
, UK
job type: Permanent / Full-time
Sector and subsector: IT | Cybersecurity
Salary: Competitive salary

At Quorum Cyber, we're on a mission to help good people win.

Founded in Edinburgh in 2016, we're one of the fastest growing cyber security companies in the UK and North America, serving over 400 customers on four continents.

We protect organisations against the rising threat of cyber-attacks, enabling them to thrive in an increasingly unpredictable and inhospitable digital landscape.

As a Microsoft-only security house, a Microsoft Solutions Partner for Security, a member of the Microsoft Intelligent Security Association (MISA), and winner of the Microsoft Security MSSP of the Year 2025 award, we offer a unified security ecosystem comprised of innovative services, all delivered through our customer platform, Clarity.

In September 2024, Quorum Cyber acquired Canada-based, Microsoft Solutions Partner for Security, Difenda. This was closely followed in December 2024 by the acquisition of US-based, Kivu Consulting, a global cyber security firm with world-leading incident response capabilities.

The Data Engineer is responsible for building, operating, and optimising scalable, secure,and reliable data platforms that support Quorum Cyber’s business operations, analytics, and customer services. The role focuses on implementing data architectures, pipelines, andintegrations defined by the Data Architect, ensuring data is ingested, transformed, andmade available in a performant, reliable, and governed manner.

This role sits within Architecture & Platform Engineering and reports into the Data & Quality Compliance Manager. It works closely with the Data Architect to implementapproved data architectures, models, and standards, and with Platform Engineering and Software Engineering teams to deliver reliable, secure, and scalable data platforms. The rolehas no architectural or release authority but is accountable for the quality, reliability, and operational effectiveness of data pipelines and data platform components in production.

• Implement data ingestion, transformation, and analytics pipelines in line with approveddata architectures and models.
• Build and operate ETL/ELT pipelines to support batch and near-real-time data processing.
• Develop and maintain data storage solutions including relational databases, data lakes,and data warehouses.
• Ensure data pipelines are reliable, performant, and observable in productionenvironments.
• Work closely with the Data Architect to implement agreed data models, standards, and patterns.
• Collaborate with Platform Engineers to deploy and operate data infrastructure securely and efficiently.
• Integrate automation and AI-driven efficiencies into data processing and operational workflows where appropriate.
• Monitor, troubleshoot, and resolve data pipeline and platform issues.
• Support data quality, governance, and compliance requirements through implementation and operational controls.
• Assist with database administration tasks including optimisation, maintenance, and performance tuning.
• Document data pipelines, operational procedures, and implementation decisionsclearly.
• Continuously improve data platform reliability, performance, and scalability.
• Stay current with data engineering tools, cloud data services, and best practices.
• Stay current with cloud data technologies, analytics trends, and emerging tools.

• Proven experience as a Data Engineer or similar data-focused engineering role.
• Strong experience with cloud data platforms and services (e.g. Azure, AWS, GCP).
• Hands-on experience with data storage technologies including relational and non-relational databases.
• Experience building and maintaining ETL/ELT pipelines and analytics workflows.
• Strong SQL skills and experience working with data processing frameworks and tools.
• Experience with scripting or programming languages (e.g. Python, Type Script).
• Working knowledge of software engineering and Dev Ops principles.
• Familiarity with Windows and Linux operating systems.
• Ability to work effectively with architects and stakeholders to deliver agreed designs.
• Strong problem-solving and operational troubleshooting skills

• Data pipelines are reliable, performant, and operate with minimal manual intervention.
• Data platforms consistently deliver accurate, timely, and trusted data to consumers.
• Approved data architectures and models are implemented correctly and consistently.
• Data-related incidents are resolved quickly and reduce over time.
• Engineering and analytical teams can rely on data platforms to meet their needs.
• Continuous improvements to data platform stability, performance, and scalability areevident.

You will get an excellent salary, with world class benefits.

As leading-edge technology company you will have access to the latest technology, and an environment that will encourage and nurture your curiosity. We are…