Data Engineer

Design, build, test, and maintain reliable data pipelines, APIs, and integrations across multiple systems and platforms

Develop scalable transformation workflows, reusable data products, and curated datasets for analytics, operational reporting, and AI use cases

Improve data quality, observability, lineage, and operational monitoring across data workflows

Design and implement workflow automations that improve operational efficiency and scalability

Collaborate with stakeholders to translate business and technical requirements into practical data and automation solutions

Support secure, responsible, and privacy-conscious handling of workforce and organisational data

Contribute to data modeling, governance, and engineering best practices across the data platform

Work closely with analytics, AI-focused teams, and the Data Operations team to enable trusted and accessible data products and intelligent workflows

Contribute to the ongoing evolution of scalable, AI-ready data capabilities across the organisation

Experience in data engineering, software engineering, platform engineering, or a related technical area

Strong SQL capability and practical experience with Python or another relevant programming language

Experience building and maintaining ETL or ELT pipelines in production environments

Understanding of data modeling, transformation logic, and data quality practices

Experience working with cloud data platforms, modern data warehouses, or distributed processing environments

Strong problem-solving, communication, and collaboration skills

Curiosity, learning agility, adaptability, and a genuine interest in solving meaningful problems through technology

"Nice to Have" Skills and Experience:

Experience with modern cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies

Familiarity with orchestration and workflow tooling such as Airflow or Dagster

Exposure to workflow automation technologies or event-driven architectures

Experience supporting AI, machine learning, or advanced analytics workloads

Familiarity with data governance, metadata management, or lineage tooling

Experience working in high-scale technology or engineering-led environments

Arm is seeking a Data Engineer to help build and scale the data foundations that support analytics, workflow automation, and AI-enabled decision-making across the People function. This role offers the opportunity to work at the intersection of data engineering, AI, automation, and business transformation within one of the world's leading technology companies.

The successful candidate will help design and build scalable and trusted data pipelines, improve operational workflows, and contribute to the development of intelligent systems that support workforce insights, organisational effectiveness, and employee experience initiatives across Arm.

Working closely with stakeholders across the People Group, Data Operations team, Technology teams, and wider business functions, this role will contribute to the development of modern cloud-based data and AI capabilities using platforms including Databricks. The role is well suited to someone with strong technical foundations, curiosity, learning agility, and a desire to continue developing engineering capability within a supportive and high-impact environment., The opportunity to work on meaningful data, AI, and automation challenges within one of the world's leading technology companies

Exposure to modern cloud-based data and AI platforms, including Databricks

The chance to contribute to AI-supported workforce and organisational decision-making at scale

Ongoing mentoring, technical development, and connection to Arm's wider data engineering community

A collaborative and supportive environment focused on growth, learning, and continuous improvement

Opportunities over time to contribute to broader enterprise engineering initiatives and develop a long-term technical career across Arm

Accommodations at Arm

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 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.