Full Stack Application Engineer – Analytics, Data Platforms

Jobtailor; Deutschland; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced Frontend/Data-Analytics Engineer in Germany to design and build scalable analytics web apps. You will create reusable frontend components, partner with Product and Data teams, and integrate with Databricks and AWS data products to deliver secure data delivery and a rich user experience.

You will collaborate across engineering and data platforms, contribute to APIs, and help improve performance, testing, and CI/CD practices while producing clear documentation

Qualifikationen

• 2+ years of experience building data-driven applications or analytics solutions.
• Hands-on experience with React, JavaScript, HTML and CSS focused on usability.
• Experience with Databricks (SQL, workflows) and AWS data integrations.
• Experience with GitHub or similar version control in team environments.
• Understanding of APIs and data interfaces for data delivery.
• Strong problem-solving, detail-oriented, quality-focused.
• Ability to collaborate across Product, Data and Engineering teams.
• Bachelor’s degree in a related field (preferred).
• Experience with healthcare or claims datasets (preferred).

Aufgaben

• Design and develop modern, scalable web applications for analytics.
• Build reusable front-end components and integrate with data platforms.
• Translate business needs into technical solutions with cross-functional teams.
• Integrate applications with curated data products using Databricks and AWS.
• Contribute to backend services and APIs enabling data access and interactivity.
• Apply engineering practices including testing, version control, and reviews.
• Support automation across development and data workflows, including CI/CD.
• Monitor and optimize application performance using usage data.
• Contribute to documentation, standards, and reusable patterns.
• Leverage AI-assisted tooling to enhance efficiency and quality.

Kenntnisse

React

JavaScript

HTML

CSS

APIs

Cross-functional collaboration

Ausbildung

Bachelor’s degree in a related field

Tools

Databricks

AWS

GitHub

Jobbeschreibung

Responsibilities

• Design and develop modern, scalable web applications that deliver intuitive analytics experiences and support client-facing use cases.
• Build reusable front‑end components and contribute to full‑stack solutions that integrate seamlessly with governed data platforms.
• Translate business needs into technical solutions by partnering across Product, Data, and Engineering teams.
• Integrate applications with curated data products using Databricks and AWS environments to ensure reliable and secure data delivery.
• Contribute to backend services and APIs that enable data access, interactivity, and system integration.
• Apply strong engineering practices including testing, version control, and code reviews to ensure quality and performance.
• Support automation across development and data workflows, including CI/CD and deployment processes.
• Monitor and optimize application performance and user experience using usage data and feedback.
• Contribute to documentation, standards, and reusable patterns that improve consistency and scalability.
• Leverage AI‑assisted development tools thoughtfully to enhance efficiency and solution quality.

Requirements

• 2+ years of experience building data‑driven applications or analytics solutions.
• Hands‑on experience with React, JavaScript, HTML, and CSS, with a focus on usability and clean design.
• Working knowledge of Databricks (SQL, workflows) and experience integrating data into applications within AWS environments such as S3.
• Experience with GitHub or similar version control tools in collaborative development environments.
• Understanding of APIs and data interfaces for consuming and delivering data.
• Strong problem‑solving skills, attention to detail, and commitment to high‑quality output.
• Ability to collaborate effectively in cross‑functional teams and communicate technical concepts clearly.
• Bachelor’s degree in a related field (preferred).
• Experience working with large or complex datasets, including healthcare or claims data (preferred).