Engineer, Digital Measurement Platform & Applications (Full Stack)

Description

The team builds applications, backend services, integrations and platform features for digital measurement, healthcare and AI/ML products.

The work covers the full cycle: designing, building, testing, deploying and maintaining production-grade apps, APIs, services and data workflows that support analytics, machine learning and digital measurement products.

The aim is reliable, scalable solutions that move new technologies and engineering ideas into production quickly and at scale.

Responsibilities

• Help build applications, backend services, APIs, integrations and data workflows that use analytics, digital measurement and AI/ML capabilities, with guidance from senior colleagues.
• Design, develop and maintain applications, APIs, backend services and workflow integrations for digital measurement and AI/ML products.
• Learn new architectures, technologies and engineering approaches by working alongside software, data and machine learning engineers and architects.
• Apply a range of techniques to improve the performance, reliability, usability, scalability and maintainability of applications and services.
• Test and validate applications, services, integrations and product features to judge whether they are ready for production, with support from others.
• Work with engineers, data scientists, product teams and other stakeholders to deliver features and technical solutions.
• Contribute to software quality, testing, documentation and engineering best practices.

Requirements

• A bachelor's or master's degree in computing, software or computer engineering, information systems, artificial intelligence or a related subject.
• At least 5 years of experience designing, building and supporting software applications, backend services, APIs, integrations or data-driven solutions.
• Experience building applications, APIs, backend services and cloud-native solutions.
• Programming experience in Python, JavaScript, Java, C++ or an equivalent language.
• Experience building modern web applications with React, Angular or a similar frontend framework.
• Experience connecting applications to AI/ML models, data processing, analytics or machine learning services.
• Experience working with real-world datasets and data-driven applications.
• Experience with software testing, version control, CI/CD and engineering best practices.
• Experience working across engineering, product, data science and architecture teams.
• The company is a global provider of clinical research, commercial insights and healthcare intelligence to the life sciences and healthcare industries. Any false statement or material omission in your application may lead to disqualification or, if found later, dismissal.

Conditions

The potential annualized base pay is €28,500.00 to €42,700.00.

Actual base pay depends on factors such as qualifications, knowledge, skills, education, experience, location and schedule (full-time or part-time).

Benefits

• Incentive plans, bonuses or other forms of compensation may be offered depending on the position.
• Health and welfare benefits and other benefits are available.