Senior Data Engineer – Fixed-Term Contract
Cambridge, United Kingdom
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will work across a varied set of Commercial initiatives, with opportunities to support data products, process intelligence, automation and AI-enabled solutions.
Design, build and maintain data pipelines and curated datasets using Python, SQL and modern data-engineering platforms.
You will work across data engineering, automation, process intelligence and reporting, collaborating with teams across Commercial, Enterprise IT and Data.
From the employer’s posting
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
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.
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. 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. Our 10x Mindset
Tools in this posting
- Python
- SQL
- Databricks
- Delta
- SAP
- Tableau
- Spark
- Power BI
- PySpark
Source — Tool mentions in context
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.
- 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.
- 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
“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 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.
Job description
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.
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.
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.
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working
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
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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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Cambridge, United Kingdom
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 68
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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