Data Engineer

Rolls-Royce Corporation; East Midlands; On-site; GBP 60,000 - 100,000; Full time

Job summary

Rolls-Royce is recruiting a Data Engineer to join our Derby team, focusing on collecting, parsing, managing, analysing and visualising large data sets. You’ll collaborate with analysts and data scientists, secure the data supply chain and deliver end-to-end data solutions across on‑prem and cloud platforms.

The role requires a degree in Mathematics/Computing or equivalent, 5+ years in Data Engineering with 3 years in a technical lead role, and hands-on experience with Azure Databricks, PySpark,

Qualifications

• Degree-level education in Mathematics or a computing/engineering discipline or equivalent experience.
• 5+ years in Data Engineering with 3+ years in a technical lead role.
• Hands-on with Azure Databricks using PySpark and cluster planning.

Responsibilities

• Understand and implement requirements with colleagues.
• Secure data supply chain and manage data ingestion and transformation.
• Analyse, cleanse, join and transform data to fit solutions.
• Implement designs on the chosen platform and ensure infra meets requirements.
• Plan and test implementations, fix issues and re-test for quality.
• Manage data including security, archiving, structure and storage.

Skills

Technical leadership

Analytical mindset

Problem solving

Education

Degree in Mathematics/Computing

Tools

Azure Databricks

PySpark

SQL Server

Azure Data Factory

Azure DevOps

Spark

Job description

Job Description Data Engineer Derby Full time An exciting opportunity has arisen for a Data Engineer to join the team. As a Data Engineer, you will work on implementing complex data projects with a focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into value using multiple platforms. You will work with business analysts and data scientists to understand customer business problems and needs, secure the data supply chain, implement analysis solutions and visualise outcomes that support improved decision‑making for customers. You will understand how to apply technologies to solve big data problems and develop innovative big data solutions.

What you will be doing:

• Working with colleagues to understand and implement requirements.
• Securing the data supply chain, understanding how data is ingested from different sources and combined or transformed into a single data set.
• Analysing, cleansing, joining and transforming data.
• Implementing designed and specified solutions into the chosen platform.
• Working with colleagues to ensure the on‑premises and cloud infrastructure available is capable of meeting solution requirements.
• Planning, designing and conducting tests of implementations, correcting errors and re‑testing to achieve acceptable results.
• Managing data, including security, archiving, structure and storage.

Position Qualifications:

• Degree-level education in Mathematics, a Scientific, Computing or Engineering discipline, or equivalent experience.
• 5+ years of experience across various levels of Data Engineering roles, including 3 years in a technical lead role managing end‑to‑end solutions.
• Hands‑on experience with Azure Databricks using PySpark, with the ability to undertake cluster capacity planning and workload optimisation.
• Holds Security Check (SC) clearance OR Eligible for Security Check (SC) clearance level and willing to apply for one through RR and go through the vetting process to successfully receive the SC clearance.
• Experience designing solutions using databases and data storage technologies, including Relational Database Management Systems (RDBMS), specifically MS SQL Server.
• Experience building and optimising Big Data pipelines, architectures and data sets using Microsoft Azure data management and processing components across IaaS, PaaS and SaaS implementation models, including custom components.
• Experience using Azure Data Factory.
• Proficiency in Python scripting, including experience using Python modules for data munging.
• Up‑to‑date knowledge of data processing technologies and platforms, such as Spark (Databricks).
• Experience in data modelling to optimise solution performance.
• Experience using Azure DevOps, with exposure to Continuous Integration and Continuous Delivery/Deployment (CI/CD).
• Experience of defining data contract and implementing it through relevant data management practices using processes and tools.

Preferred Requirements:

• Good understanding of infrastructure components and their application within different types of data solutions.
• Experience designing solutions deployed on Microsoft and Linux operating systems.
• Experience working in an agile environment within a self‑organising team.

Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi‑year transformation programme aims to turn Rolls‑Royce into a high‑performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls‑Royce are committed to being a respectful, inclusive, and non‑discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive.

Grade: SNBG – 7-10 Closing Date: 17th November 2026 People Leader: Sadashiva Bolanthur For further information, please contact: Jaspreet Panesar Job Category Digital Posting Date 03 Nov 2026; 00:11 Posting End Date 17 Nov 2026 Rolls‑Royce pioneers cutting‑edge technologies that deliver the cleanest, safest and most competitive solutions to our planet’s vital power needs.