2 months ago
Cambridge, United KingdomSenior
Responsibilities
- Design, build, and maintain data pipelines and curated datasets using Python, SQL, and modern data-engineering platforms.
- Troubleshoot and progress existing data-engineering work through testing, deployment, and handover.
- Integrate data from enterprise systems, APIs, and other sources for automation, reporting, and analytical use cases.
- Translate business and process requirements into data models, transformations, metrics, and reusable data products.
- Collaborate with business process owners, developers, Enterprise IT, and Data teams to meet functional and technical requirements.
- Apply data quality, lineage, testing, monitoring, security, and governance practices.
- Support reporting, process-intelligence, and automation solutions with accurate, accessible, and reliable data.
- Manage priorities and dependencies across multiple initiatives while maintaining documentation and supporting handover.
Requirements
- 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.
- Understanding of data modeling, data quality, testing, metadata, lineage, and production release.
- Experience integrating data across APIs, databases, and enterprise applications.
- Strong problem-solving skills and the ability to understand existing technical solutions quickly and work independently.
- Experience translating business or process requirements into technical solutions and working across technical and non-technical teams.
- Preferred experience with Databricks, Spark/PySpark, Delta Lake, Celonis, process mining, or process intelligence.
- Preferred experience with Salesforce, SAP, ServiceNow, AI-enabled applications, workflow automation, data products supporting LLM-based solutions, CI/CD, Git, automated testing, observability, Databricks SQL, Tableau, or Power BI.
Benefits
- Fixed-term contract opportunity with immediate impact across high-priority Commercial initiatives.
- Exposure to data engineering, automation, process intelligence, reporting, modern data platforms, and emerging AI use cases.
- Hybrid working arrangements determined by the group or team; role-specific details are shared during application.
- Recruitment adjustments and accommodations are available upon request.
Tech Stack
Categories
Data Engineering
About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.