Senior Data Engineer (Azure Data Factory)

About us:

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The Role:

We are seeking experienced Azure Data Factory Data Engineer to join a critical, long-term project focused on enhancing and optimizing existing data systems within the healthcare domain.

Your primary focus will be designing, improving, and maintaining ETL/ELT workflows that handle sensitive healthcare data.

This is a full-time, long-term remote engagement where you will collaborate closely with cross-functional stakeholders to deliver secure, high-performing data solutions.

What we are looking for:

* 5+ years of professional experience as a Data Engineer

* Practical experience with Azure Data Factory for orchestration and pipeline management, 3+ years

* Strong proficiency in SQL with proven experience optimizing complex queries

* Hands-on experience with Snowflake in production environments

* Solid experience with ETL/ELT processes and data transformation techniques

* Experience working with sensitive healthcare data and understanding of compliance and data protection requirements

* Strong analytical and problem-solving skills

* Good communication skills in English (written and spoken)

* Ability to work independently in a remote, distributed team

* Ability to work independently and deliver high-quality results remotely

* Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Nice-to-have:

* Experience with Talend (especially for understanding or maintaining legacy data processes)

* Familiarity with DBT for modern data transformation workflows

* Experience working in structured product teams with product owners, delivery managers, and architects

* Knowledge of data governance and data modeling best practices

* Experience with performance monitoring and pipeline observability tools

Responsibilities:

* Develop, maintain, and optimize ETL/ELT pipelines using Azure Data Factory

* Design efficient data acquisition and transformation workflows

* Improve and implement robust data cleaning mechanisms to ensure high data quality and integrity

* Optimize and performance-tune complex SQL queries

* Support and execute data migration and integration into Snowflake from multiple data sources

* Ensure compliance and secure handling of sensitive healthcare data

* Collaborate with product owners, architects, and delivery managers to align technical solutions with business goals

* Monitor and troubleshoot data workflows to ensure reliability and performance

What we offer:

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Compensation

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