Data Engineer (Full-Stack Data Products)

Catalyst; Newcastle upon Tyne; On-site; GBP 55,000 - 75,000; Full time

Job summary

Catalyst is recruiting a Data Engineer for Full-Stack Data Products in Newcastle upon Tyne. You will develop data-intensive systems, pipelines, APIs, and platforms powering analytics and AI-driven products.

The role requires strong Python and SQL, experience with Spark/Databricks, and hands-on cloud and DevOps skills. You will work across data pipelines, cloud infrastructure, and platform automation in a fast-growing team.

Qualifications

• Essential: degree with 2:1 or 1st in a relevant subject from a leading university.
• Demonstrable experience as a Data Engineer.
• Financial Services sector experience is a plus.

Responsibilities

• Design and build scalable data-intensive applications and pipelines.
• Develop production-grade APIs and reusable code.
• Participate in architecture and technical design discussions.
• Write automated tests (unit/integration/end-to-end).
• Design data pipelines sourcing data from multiple sources and integrate into data platforms.
• Maintain data reliability and quality for informed decision making.
• Collaborate with stakeholders to improve data accessibility and use.
• Deploy cloud-native solutions and use Infrastructure as Code.

Skills

Python

SQL

Spark

Databricks

AWS

Azure

GCP

Airflow

Terraform

Kubernetes

CI/CD

Data pipelines

Education

2:1 or 1st in Computing Science/Math/Physics

Tools

Databricks

Airflow

CI/CD pipelines

Job description

The Client

We are delighted to be ,once more, recruiting on behalf of our prestigious client, a newly created JV Technology Consulting business formed by global leaders in the fields of management consulting and investment fund management. Based in Newcastle upon Tyne at their enviable facilities, my client seek a Data Engineer for Full-Stack Data Products, to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance.

About The Role

As a Data Engineer you will play a key role in developing, building and maintaining scalable data intensive systems, pipelines and platforms that power analytics, operational systems, and AI-driven products. This role combines full-stack or backend software engineering with modern data engineering, requiring someone with a broad skillset and who excels in solving problems across application development, data pipelines, cloud infrastructure, and platform automation.

Key Responsibilities Include

• Software Design: Develop, and maintain production-grade applications and APIs.
• Application Build: Develop reusable, well-tested code following engineering best practices.
• Architecture: Participate in architecture and technical design discussions.
• Testing: Write automated unit, integration, and end-to-end tests.
• Data Pipeline Development: Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms.
• Maintenance & Data Reliability: Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making.
• Continuous Improvement & Collaboration: Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies.
• Cloud infrastructure: Deploy cloud-native solutions using Infrastructure as Code and collaborate on cloud architecture and optimisation

About You

To be considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous if you possessed experience working in the Financial Services Sector.

Key Selection Criteria

• Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools
• Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data
• Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources
• Distributed computing for data intensive work such as Spark and Databricks
• Cloud platforms including AWS, Azure and GCP
• Orchestration tools like Airflow
• Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes
• Experience building scalable backend applications
• Understanding of distributed systems and software architecture.
• Ability to test and troubleshoot data products with a track record of improving data reliability and quality
• Excellent communication skills and the ability to work effectively and openly within a team-based environment
• Self-motivated, detail-oriented, and eager to learn new technologies and methodologies

This is an excellent opportunity to join a leading business that only employs exceptional, collaborative and passionate people. This rapid expansion phase is the ideal time to be joining such a prestigious business