Senior Data Engineer (Healthcare domain)

Unleash your ambition and lead a team as a Senior Data Engineer! We are looking for a professional who not only has impressive data engineering experience but is also ready to take on a leadership role.

Join us, and you will have the opportunity to innovate, lead the team, improve our solutions, and help us reach new heights!

If you are interested in this position, submit your CV now.

Customer

Our client is a leading medical technology company. Its portfolio of products, services, and solutions is focused on clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where people live or what problems they face. The client innovates sustainably to provide healthcare for everyone, everywhere.

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.

Requirements

• 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

Personal Profile

• Excellent communication skillsResponsibilities

  • 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 TL’s support is required

  • Implement architectures 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 evaluating 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