Senior Data Engineer

We are currently seeking a skilled and passionate Data Engineer to help us enhance our data infrastructure and analytical capabilities. You will play a key role in building and optimizing data pipelines, ensuring efficient data processing, and supporting advanced analytics and machine learning models. As a Data Engineer, you will work closely with our Product Management team to understand business needs and translate them into scalable and reliable data solutions. You will also collaborate with cross-functional teams of software developers, data scientists, and cloud engineers to enable real-time and batch data processing solutions.

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes; Optimize and automate data workflows using Python (PySpark) and Databricks within an Azure cloud environment; Collaborate with Product Management and business stakeholders to understand product usage, reporting and analytics needs, and translate them into scalable data solutions; Monitor and troubleshoot data-related issues, ensuring high availability and performance of data infrastructure; Implement best practices for data governance, security, and compliance; Contribute to the evolution of our data architecture to support growing business requirements; Own and drive the evolution of our usage analytics domain, including data models, business metrics and analytical datasets, that enable reporting, dashboards and data-driven decision making

Requirements

A bachelor's degree in Computer Science, Engineering, or a related field; 4+ years of experience in data engineering or related roles; Proficiency in Python (PySpark) for data processing and automation; Hands-on experience with Databricks and Azure cloud services; Knowledge of SQL and database design principles; Experience with data modeling, including designing analytical and reporting-oriented data structures, as well as ETL processes and pipeline orchestration; Familiarity with version control systems like Git; Strong problem-solving skills and a proactive mindset; A high level of English proficiency (written and verbal)

Nice to have

Curious and enthusiastic about working with data to drive business value; Collaborative, with a strong ability to work across teams, especially with Product Management; Driven and self-motivated, capable of working independently and taking initiative; Comfortable in an agile environment, where continuous learning and adaptation are encouraged

Benefits

The opportunity to improve patient care by building cutting-edge data solutions; A dynamic, innovative work environment in an international company; Competitive salary and benefits, with a focus on work-life balance; Private health insurance; Hybrid-remote work flexibility; Collaboration with a team of top-tier professionals in a supportive and engaging atmosphere