Staff Data Engineer

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Job ID: 2025-16281 • Date posted: 24/11/2025 • Location: Cambridge, United Kingdom • Category: Data Analytics

Are you seeking an exciting and meaningful role at the forefront of the technology industry? Are you motivated by learning new things and putting that knowledge into action?

We are seeking a highly skilled and motivated data engineer to join our Productivity Engineering group. You will be part of a team based in Cambridge (UK), working closely with engineering teams across Arm’s worldwide engineering centres to build secure and scalable data solutions that enable Arm's engineering community to get value from the data.

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• Building highly scalable, fault‑tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data daily, supporting a petabyte‑scale data lakehouse.
  
• Participate in architectural discussions, influence the product roadmap, and lead new initiatives from concept to delivery.
  
• Partner with engineering to build new data flows to ensure performance, scalability, and cost efficiency.
  
• Ensure data quality, governance, compliance and observability across all stages of the data lifecycle.
  
• Serve as a mentor and data advocate, providing technical leadership and supporting team members within the business unit and organisation.
  

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• Degree and/or equivalent experience in engineering, computer science or a related data‑intensive field.
  
• Proficient with one or more programming languages (Python, Scala).
  
• Hands‑on experience with modern data technologies (e.g. Databricks, Spark, Kafka, and Elasticsearch).
  
• Comfortable building pragmatic ETL/ELT workflows in AWS/GCP/Azure using orchestration frameworks or cloud‑native tools.
  
• Excellent written and verbal communication skills, with the ability to collaborate effectively in fast‑paced, diverse environments.
  
• Ability to present data and insights in an engaging and clear way, with strong attention to detail, and ensure data accuracy and quality.
  

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• Solid understanding of data governance, security, and compliance frameworks.
  
• Experience with data visualisation (Tableau, Looker, Kibana or Power BI).
  
• Experience using AI/ML data pipelines, MLOps, or related workflows and the processes around testing, monitoring, and SLAs.
  
• Passion for mentoring other engineers and contributing to the development of engineering standards.
  

In addition to being part of the incredible Arm journey, we offer a strong team culture, huge scope for impact across multiple engineering domains, learning opportunities, regular career conversations, an emphasis on diversity, equity and inclusion, and a continuous improvement mentality.

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email .

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.

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.

Associate

Full‑time

Information Technology

Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing