Mid/Senior Data Engineer

Prosoma is a medtech startup delivering digital healthcare solutions for psycho-oncology. Our products provide accessible, supportive care to patients to improve their overall treatment effectiveness while generating savings for the stakeholders across the healthcare system. 

Role Summary: 

As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining robust data solutions within our Azure-based ecosystem. You'll leverage your expertise in Python, SQL, and Azure services to build scalable data pipelines, optimize ETL processes, and ensure data integrity. Working closely with cross-functional teams in Central Europe and the United States, you'll contribute to data architecture decisions, implement best practices in data security and performance, and support business insights through advanced analytics. Your strong technical skills, coupled with your ability to translate business needs into effective data solutions, will be key to driving our data-driven initiatives forward. 

Responsibilities: 

• Work with cross-functional teams in Central Europe and the United States to support data-related projects and translate business needs into data architecture. 
• Implement data architecture for large-scale systems using Azure services. 
• Design and maintain scalable data pipelines, integrating diverse, distributed global data sources in multiple regulatory environments into a unified format. 
• Develop and optimize ETL processes using Python and SQL for efficient data migration and transformation. 
• Implement automated data quality checks to ensure data integrity throughout its lifecycle. 
• Implement and maintain data security best practices within the Azure cloud ecosystem. 
• Maintain comprehensive documentation for data processes and contribute to
• the data migration playbook. 
• Expand the billing system based on analytics data. 
• Manage CI/CD pipelines for streamlined code deployment. 

Requirements: 

• Minimum of 3 years of experience as a Data Engineer. 
• Strong proficiency in Python. 
• Hands-on experience in data gathering, cleaning, and processing; data  visualization skills are a plus. 
• Strong understanding of data warehouse concepts and experience in data modeling within a data lake pattern. 
• Proficiency in SQL and data analysis, with knowledge of relational databases (preferably SQL Server and PostgreSQL). 
• Experience with automated unit testing and code quality inspection. 
• Extensive experience with Cloud Vendors, for example Azure, including in-depth knowledge of Azure architecture and services. 
• Familiarity with CI/CD pipelines, preferably using Github Actions or Azure DevOps. 
• Knowledge of public cloud architecture, security, networking concepts, and best practices (Microsoft Azure preferred). 

Nice to Have: 

• Experience with AI tools and deploying AI based applications will be a big plus. 
• Experience with Apache Spark, Azure Data Factory or Databricks platform. Experience with Apache Airflow, or similar. 
• Previous experience in the medical devices domain, or another regulated area. 

Languages: 

• Fluency in Polish is required. 
• Communicative in English. 

What We Offer: 

• Work (UoP) contract. 
• Opportunity to make an impact within the company (regular knowledge sharing, collaborative environment that encourages forward-thinking and initiative). 
• Competitive salary.
• Potential to delve into the details of healthcare technology, including regulatory requirements, certification processes, and unique market characteristics. 
• Fully remote work with flexible hours. 
• A chance to be part of a growing international presence and contribute to our global expansion. 

How to Apply: 

If you are passionate about using your technical skills to make a positive impact in the healthcare sector, we would love to hear from you. Please submit your resume outlining your relevant experience and let us know why you are the perfect fit for this role. 

Join us in our mission to revolutionize healthcare with technology!