Senior Data Engineer – Fixed-Term Contract

Cambridge, United Kingdom

Live, first seen by us 48 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design, build and maintain data pipelines and curated datasets in Python and SQL
Pick up existing data-engineering work and troubleshoot it through testing and deployment
Integrate data from enterprise systems and APIs for automation and reporting
Translate process requirements into data models, transformations and metrics
Apply data quality, lineage, testing and governance practices

From the employer’s posting

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.

Apply data quality, lineage, testing, monitoring, security and governance practices so outputs are trusted and maintainable.

Apply at Arm Holdings

Posting record

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Status in our records: Live
First seen by us: Sep 17, 202648 days ago
Recorded sightings: 166
Last seen by us: Nov 4, 2026

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How this job compares

Time since we first saw it

Day 48

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From 10,824 similar postings that came down. Coming down is not always a hire.

Arm Holdings is hiring

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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Databricks
Delta Lake
Power BI
SAP
Spark
Tableau
PySpark

Where the posting names them

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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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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