Arm
Senior Data Engineer – Fixed-Term Contract
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Job ID 2026-19367
Date posted: 17/09/2026
Location: Cambridge, United Kingdom
Category: Data Analytics
Job Overview
Arm is seeking an experienced Data Engineer to support a portfolio of in-flight Commercial data, automation, and reporting initiatives.
You will build and maintain reliable datasets, pipelines, and integrations that connect operational data across Arm’s systems and make it usable for automation, analytics, reporting, and decision making.
This is a hands-on fixed-term role with a strong delivery focus. You will take ownership of existing technical work, work with process owners and technical teams to resolve outstanding issues, and help move solutions from development through to reliable operational use.
You will work across a varied set of Commercial initiatives, with opportunities to support data products, process intelligence, automation, and AI-enabled solutions.
Responsibilities
- Design, build, and maintain data pipelines and curated datasets using Python, SQL, and modern data-engineering platforms.
- Pick up and progress existing data-engineering work, troubleshooting issues, and helping solutions move through testing, deployment, and handover.
- Integrate data from enterprise systems, APIs, and other sources to support automation, reporting, and analytical use cases.
- Translate business and process requirements into appropriate data models, transformations, metrics, and reusable data products.
- Work with business process owners, developers, Enterprise IT, and Data teams to ensure solutions meet functional and technical requirements.
- Apply data quality, lineage, testing, monitoring, security, and governance practices so outputs are trusted and maintainable.
- Support reporting, process-intelligence, and automation solutions by ensuring the underlying data is accurate, accessible, and reliable.
- Manage competing priorities and dependencies across multiple in-flight initiatives, maintaining clear technical documentation and supporting effective handover.
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Required Skills And Experience
- Experience in data engineering, analytics engineering, or a comparable technical role.
- Experience building data pipelines, transformations, and reusable datasets using Python, SQL, and modern data platforms.
- Good understanding of data modelling, data quality, testing, metadata, lineage, and production release.
- Experience integrating data across APIs, databases, and enterprise applications.
- Strong problem-solving skills, with the ability to understand existing technical solutions quickly and work independently to move them forward.
- Experience translating business or process requirements into technical solutions and working across technical and non-technical teams.
“Nice To Have” Skills And Experience
- Experience with Databricks, Spark/PySpark, Delta Lake, or comparable technologies.
- Experience with Celonis, process mining, or process intelligence.
- Experience with enterprise platforms such as Salesforce, SAP, or ServiceNow.
- Exposure to AI-enabled applications, workflow automation, or data products supporting LLM-based solutions.
- Experience with CI/CD, Git, automated testing, observability, or visualisation tools such as Databricks SQL, Tableau, or Power BI.
In Return
You will have the opportunity to make an immediate impact on a portfolio of high-priority Commercial initiatives, helping move existing solutions through to successful operational use.
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You will work across data engineering, automation, process intelligence, and reporting, collaborating with teams across Commercial, Enterprise IT, and Data. The role offers exposure to modern data platforms and emerging AI use cases, while remaining firmly focused on practical technical delivery and measurable business outcomes.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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