Senior Data Platform Engineer - ML & Data Lakehouse

Straumann Group; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Straumann Group is seeking a Senior Data Platform / Data Engineer to join our ML Platform team and help build the data infrastructure powering our AI products in dentistry. You will work with ML researchers, MLOps engineers, and product teams to ensure a reliable, scalable platform that supports the full AI lifecycle.

A key focus is the Data Lakehouse and dataset management workflows, including dataset versioning with DVC, and improving how data is prepared, extracted, and consumed across

Qualifications

• Strong Python engineering skills.
• Experience building data pipelines or data platforms.
• Experience working with AWS.
• Experience working with large datasets used in ML workflows.
• Strong software engineering practices (testing, CI/CD, documentation).
• Experience collaborating with ML teams or working in AI environments.

Responsibilities

• Design and evolve the Data Lakehouse architecture used across our ML teams.
• Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
• Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
• Collaborate with ML researchers to translate requirements into robust platform capabilities.

Skills

Python

Data pipelines

AWS

Large ML datasets

CI/CD

ML collaboration

Tools

DVC

Kubernetes

PostgreSQL

Metabase

Job description

Straumann Group is seeking a Senior Data Platform / Data Engineer to join our ML Platform team and help build the data infrastructure powering our AI products in dentistry. You will work with ML researchers, MLOps engineers, and product teams to ensure a reliable, scalable platform that supports the full AI lifecycle.

A key focus is the Data Lakehouse and dataset management workflows, including dataset versioning with DVC, and improving how data is prepared, extracted, and consumed across