Healthcare Data Engineer: Build Scalable AI-Ready Pipelines

Invinite Oy

Helsinki

Vor Ort

EUR 60.000 - 90.000

Vollzeit

Vor 4 Tagen

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Zusammenfassung

Invinite Oy is seeking a Data Engineer to build data pipelines and analytical environments in the healthcare sector, enabling smarter decisions and real-world impact.

You'll collaborate with Data Architects and Scientists, implement open solutions, and ensure secure, scalable processing of health data across cloud platforms.

Experience with SQL, Python, PySpark, and data warehouses is essential; a proactive mindset and commitment to excellence are valued.

Qualifikationen

Practical experience with data integrations, data warehouses and data pipeline tools.
Proficiency in SQL, Python, PySpark and R, with an interest in open solutions.
A solid understanding of cloud-based services (Azure, AWS, GCP) for data processing.
Insight into health data processing in a modern, scalable manner.
Strong problem-solving skills and willingness to develop better solution models with clients and team.
Keeping up-to-date with new technologies and methodologies.

Aufgaben

Design & Implementation: Create data pipelines and information management solutions for healthcare.
Infrastructure Development: Build scalable data infrastructures for analytics and AI adoption.
Solution Modelling: Develop models using open tech (Databricks, Delta Lake, Spark) on cloud platforms.
Data Quality & Security: Ensure quality, integrity and security of data at scale.
Collaborative Optimisation: Work with experts to design and optimise day-to-day healthcare solutions.
Best Practices: Contribute to internal and client best practices.

Kenntnisse

SQL

Python

PySpark

Data pipelines

Data warehouses

Databricks

Delta Lake

Apache Spark

Tools