data engineer

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 to enable Arm's engineering community to get value from the data., * 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.
• 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.

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?, * 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.

"Nice To Have":

• 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.

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