Data Engineer - Delivery

Responsibilities

• Design, build, and maintain efficient, reusable, and reliable code.
• Ensure the best performance and quality of applications.
• Identify issues and provide solutions to mitigate and address them.
• Help maintain code quality, organization, and automation to ensure optimal performance.
• Continuously expand the body of knowledge via research.
• Comply with corporate quality policies and procedures.
• Complete all training requirements promptly.

Requirements

• At least 2 years of Python programming experience, including data transformations using PySpark library.
• Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred.
• Understands the business processes and business data used in data transformations.
• Having experience working on different Python libraries and willing to learn/work on new libraries.
• Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
• Having advanced analytical and problem-solving skills.

Purpose of Job

You will be responsible and accountable for the development and maintenance of data pipelines. You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform.

You'll need to have

CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred.

At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!