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.
Please be aware that the priority will be given to employees identified as being at high risk.
This job is advertised at the grades shown, and this is the desired operating level for this role. We encourage applications from candidates with relevant experience from any grade.
It is advised that you inform your current manager of your application for this role.
Grade: SNBG – 7-10
Closing Date: 17th November 2026
People Leader: Sadashiva Bolanthur
For further information, please contact: Jaspreet Panesar
Job CategoryDigitalPosting Date03 Nov 2026; 00:11Posting End Date17 Nov 2026Skills Required
- 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, including cluster capacity planning and workload optimisation
- Holds Security Check SC clearance or is eligible and willing to obtain SC clearance through the vetting process
- Experience designing solutions using databases and data storage technologies, specifically Microsoft SQL Server
- Experience building and optimising big data pipelines, architectures, and datasets using Microsoft Azure components across IaaS, PaaS, and SaaS models
- Experience using Azure Data Factory
- Proficiency in Python scripting, including Python modules for data munging
- Current knowledge of data processing technologies and platforms such as Spark and Databricks
- Experience in data modelling to optimise solution performance
- Experience using Azure DevOps and exposure to CI/CD
- Experience defining data contracts and implementing them through relevant data management practices, processes, and tools
- Understanding of infrastructure components and their application within different data solutions
- Experience designing solutions deployed on Microsoft and Linux operating systems
- Experience working in an agile environment within a self-organising team
Rolls-Royce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rolls-Royce and has not been reviewed or approved by Rolls-Royce.
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Retirement Support — Retirement support is strengthened by a U.S. 401(k) program and recent Indianapolis agreements that enhanced retirement benefits. This foundation is complemented by an ongoing company emphasis on competitive retirement provisions across regions.
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Equity Value & Accessibility — Equity value is broadened through a global employee share plan with a broad-based grant in 2024. A matched-purchase program introduced in 2025 further extends access to share ownership.
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Flexible Benefits — Flexible benefits are highlighted through a holistic, choice-based package and flexible working principles under the People Deal. Regional tailoring provides options spanning wellbeing, recognition, and other locally relevant rewards.
Rolls-Royce Insights
What We Do
Delivering power and propulsion solutions in the air, at sea and on land.







