Senior Data Engineer

We are seeking a driven and technically skilled Data Engineer to join our small but impactful team supporting engineering capacity analytics across ARM. In this role, you'll supply to the development and maintenance of robust data pipelines and reporting infrastructure, powering critical business decisions in resource capacity management to deliver Arm's products.

You will work closely with a lead data engineer and a multi-functional team of analysts and collaborators, dealing with diverse datasets from technical resource logs to user entered spreadsheets. The role is best suited for someone who thrives in a technical, fast-paced environment and enjoys solving data problems with precision and creativity.

• Design, build, and maintain data pipelines using Python and PySpark on the Databricks platform.
• Develop and optimise datasets used for business reporting in Tableau, ensuring reliability and accuracy.
• Contribute to version-controlled codebases using Gerrit and GitHub.
• Support CI/CD processes using CloudBees Jenkins pipelines.
• Work with semi-structured and unstructured data ensuring robust data handling strategies.
• Collaborate with analysts and collaborators to understand data requirements and deliver actionable outputs.
• Participate in peer reviews and contribute to a quality-focused engineering culture.
• Eventually take ownership of key pipelines and contribute to continuous improvement of the data ingestion and processing environment.
• Extract and process data from diverse sources including:
  • On-Premise LSF logs
  • Cloud billing files from Azure, GCP, and AWS
  • SQL databases, Excel files, and SharePoint-hosted lists
  • Custom time series datasets from internal engineering tools

• Strong software development skills, with clear, maintainable, and efficient coding practices.
• Proven command of SQL for data ingestion, transformation, and optimisation.
• Comfortable working with semi-structured/unstructured data (e.g. Excel, SharePoint).
• Excellent problem-solving abilities and self-motivation.
• Strong written and verbal communication; able to document work clearly and engage with non-technical collaborators.
• Experience working independently on tasks and able to take initiative when resolving issues.
• Comfortable using AI-Tools as part of your workflow.

• Experience with Python, Apache Spark and Databricks.
• Experience with CI/CD systems (ideally CloudBees Jenkins).
• Exposure to time-series data processing.
• Understanding of technical resource capacity management and/or engineering infrastructure data domains.

In Return: You will gain the opportunity to work at the heart of Arm’s engineering ecosystem, developing impactful data solutions that directly influence how we deliver our products. You’ll sharpen your skills in data technologies, collaborating with engineers and analysts in an encouraging, knowledge-sharing environment. We offer a culture of innovation, growth, and flexibility, empowering you to take ownership and make substantial contributions from day one.

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.

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.

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.