We are seeking a Data Engineer to work closely with our data science team and contribute to the development of cloud infrastructure and data models. The ideal candidate will have experience with AWS, data ingestion, and data modeling. The role involves setting up data transfer mechanisms, developing cloud infrastructure, and ensuring data is organized and accessible for analysis.

Data Engineer

Your responsibilities:

• Work with the data science team to understand data requirements and provide support for data analysis.
• Develop and maintain cloud infrastructure for data storage and analysis.
• Set up data transfer mechanisms from test benches to the cloud.
• Create and maintain data models that make sense for the type of data being collected.
• Develop APIs for data transfer and analysis.
• Ensure data is organized and accessible for analysis and visualization.
• Collaborate with the technical team to understand data formats and requirements.
• Assist in the development of dashboards and front-end tools for data visualization.
• Build data analysis platform technologies as in AWS and docker.

We require:

• Experience with AWS and cloud infrastructure development.
• Experience with Python and docker.
• Strong understanding of data ingestion and data modeling.
• Good command of English (spoken and written),
• Familiarity with data transfer mechanisms and APIs.
• Ability to work with various file formats and data structures.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Experience with developing dashboards and front-end tools for data visualization is a plus

We can offer:

• Competitive salary aligned with your experience and mindset: from 20,000 up to 25,000+ PLN gross (Employment Contract),
• Remote or hybrid work model: 3 days in our modern Warsaw office, 2 days home office,
• Work with cutting-edge technology, classified solutions, and impactful healthcare products,
• Exciting projects with purpose — contribute to innovations that improve lives globally,
• A strong and ambitious international company recognized with the Great Place to Work® 2024 award,
• Agile work environment with real growth opportunities,
• The satisfaction of knowing your work truly matters.

Recruitment process steps:

Send your CV via the H4H form or email: [email protected]

A short phone call with an H4H recruiter to complete your application and clarify expectations

A 15–30 min video call with our Partner’s Tech Leader to assess your skills (we may re-invite you if better-fitting offers emerge)

A brief call with our Partner’s HR Business Partner to explore cultural fit and alignment with company valuesFinal decision and feedback

Welcome aboard!