Senior Data Engineer (Healthcare)

Company Description

We are looking for a Senior Data Engineer to lead a team, improve data practices, and help drive new opportunities and growth.

Would you like to join an experienced team and work with a world-known Customer? We have a fantastic opportunity for an experienced and skilled Senior Data Engineer to participate in the development of a rapidly growing project.

Feel challenged? Then we would like to hear from you!

CUSTOMER
Our client is a leading global company with years of experience in innovative technologies. By bridging the real and digital worlds with top solutions, they enable the transformation of everyday life for billions of people. Their portfolio of products, services, and solutions is focused on clinical decision-making and treatment pathways.

PROJECT
The project’s mission is to enable healthcare providers to increase their value by providing them with innovative technology and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services.

Job Description

• Work closely with the client (PO) and other Team Leads to clarify technical requirements and expectations
• Coordinate and supervise your team (up to 4 team members), track performance, and provide support where Team Lead’s support is required
• Implement architecture based on Azure cloud platforms (Data Factory, Databricks, and Event Hub)

• Design, develop, optimize, and maintain squad-specific data architectures and pipelines that adhere to defined ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering or data science
• Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes
• Participate in pre-sale activities and work with potential opportunities in the data direction

Qualifications

• Experience with data engineering and cloud computing services and solutions in the field of data and analytics. Azure is preferable
• Conceptual knowledge of data analytics fundamentals, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Knowledge of SQL and experience with at least one programming language (Python or Scala)
• Understanding of big data databases such as Snowflake, BigQuery, etc. Snowflake is preferable
• Experience with database development and data modeling, ideally with Databricks or Spark
• Fluency in business English

Additional Information

PERSONAL PROFILE

• Excellent communication skills