Analytics Engineer, Data Apps & Pipelines

Apple Technical Recruitment; Greater London; On-site; GBP 65,000 - 110,000; Full time

Job summary

Apple is seeking a strong Data Engineer within the PART Enablement Team to design, build, and deploy lightweight Streamlit web interfaces and data tools that streamline financial analysis and decision-making. You will develop data pipelines and integrate analytics models, collaborating with financial analysts, data scientists, and engineers to deliver user-friendly solutions.

The role focuses on translating complex financial processes into technical specifications, delivering robust,

Qualifications

• 5+ years of experience in data engineering or software development focused on building data applications.

Responsibilities

• Collaborate with financial analysts to understand workflows and analytical needs.
• Design, build, and deploy lightweight web apps (Streamlit) to automate tasks and visualize data.
• Write clean, well-documented Python code.
• Connect apps to databases, APIs, and data lakes within Apple’s data ecosystem.
• Implement robust error handling, logging, and monitoring.
• Manage the full application lifecycle from development to deployment and maintenance.
• Iterate on applications based on user feedback to improve usability.
• Collaborate with data scientists to integrate models into apps.
• Help develop best practices for data app development and deployment.
• Build data pipelines to support reporting and insights.
• Document applications, data flows, and specifications.

Skills

Python programming

Data engineering

Web development

Stakeholder communication

Problem-solving

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Streamlit

Flask

Django

SQL Server

PostgreSQL

Matplotlib

Seaborn

Plotly

Git

Snowflake

Dremio

Airflow

Metaflow

AWS

Azure

GCP

Dataiku

Job description

Apple is seeking a strong Data Engineer within the PART Enablement Team to design, build, and deploy lightweight Streamlit web interfaces and data tools that streamline financial analysis and decision-making. You will develop data pipelines and integrate analytics models, collaborating with financial analysts, data scientists, and engineers to deliver user-friendly solutions.

The role focuses on translating complex financial processes into technical specifications, delivering robust,