Analytics App Engineer: Python + Streamlit for Onboarding

Camwebdir; United Kingdom; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Hybrid working

Accommodations on request

Job summary

Arm is seeking a hands-on developer to design and build lightweight analytics applications on our Enterprise Data Platform within the EDI team. You will translate user needs into usable data products, collaborating with Data Engineers, Analysts and stakeholders to enable trusted insights across Arm Operations.

The role focuses on onboarding usability, data quality, documentation and adoption, with opportunities to shape analytics tooling and dashboards that communicate onboarding and business

Qualifications

• Hands-on experience developing data or analytic applications in Python using Streamlit, Dash or a similar framework.
• Experience designing, testing and maintaining user-facing applications, including the use of version control.
• Strong SQL skills and experience analysing and integrating data sets from multiple sources.
• Experience with Databricks (or similar modern data platforms).
• Working experience with notebooks and Python data libraries and processing frameworks (e.g. Pandas, PySpark).
• Understanding of deployment, CI/CD, orchestration and application support practices.

Responsibilities

• Design, build, test, deploy and maintain lightweight analytics application, primarily using Python and Streamlit, to support training and onboarding.
• Translate business and user requirements into intuitive application workflows, well-structured data models and transparent metrics.
• Work closely with Data Engineers to ensure data pipelines and reusable data sets meet application and analytical needs.
• Maintain application code in version control and contribute to testing, technical documentation and development best practices.
• Develop and maintain reusable datasets, semantic layer, data quality checks, monitoring and reporting for the data used by the applications.
• Gather user feedback and iteratively improve application usability, accessibility and adoption.

Skills

Python

Streamlit

SQL

Databricks

PySpark

Pandas

Dash

Git

Tools

Databricks

Git

Power BI

Tableau

Job description

Arm is seeking a hands-on developer to design and build lightweight analytics applications on our Enterprise Data Platform within the EDI team. You will translate user needs into usable data products, collaborating with Data Engineers, Analysts and stakeholders to enable trusted insights across Arm Operations.

The role focuses on onboarding usability, data quality, documentation and adoption, with opportunities to shape analytics tooling and dashboards that communicate onboarding and business