Analytics App Engineer - Python & Streamlit

ARM; Cambridge; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

ARM is seeking a hands-on data app engineer within the Enterprise Data & Insights team to design and build lightweight analytics applications on our data platform. You will translate business needs into usable data products and dashboards that help teams explore trusted insights and monitor adoption.

You will collaborate with data engineers and stakeholders, own the development lifecycle from design to deployment, and focus on usability, data quality, documentation and onboarding to enable

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
• Build dashboards and visualisations where they are the most appropriate way to communicate onboarding, adoption and business metrics
• Support onboarding of new users to the data platform, improving accessibility and usability

Skills

Python

Streamlit

SQL

Databricks

PySpark

CI/CD

Data visualization

Tools

Git

Databricks

Job description

ARM is seeking a hands-on data app engineer within the Enterprise Data & Insights team to design and build lightweight analytics applications on our data platform. You will translate business needs into usable data products and dashboards that help teams explore trusted insights and monitor adoption.

You will collaborate with data engineers and stakeholders, own the development lifecycle from design to deployment, and focus on usability, data quality, documentation and onboarding to enable