Senior Data Engineer(m/w/x)

Description

As a Senior Data Engineer, you will develop and optimize data infrastructure, collaborate with multidisciplinary teams, and lead the creation of data products that enhance decision-making. You will also mentor junior engineers and ensure data quality.

Requirements

• •Collaboration and open-mindedness
• •Value for learning from colleagues
• •Ability to thoughtfully challenge ideas
• •Prioritization of impactful work
• •Thriving in a dynamic environment
• •Passion for continuous learning
• •Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• •6+ years in data engineering
• •Experience in leading junior data engineers
• •Experience with Python, SQL Query Development, Snowflake, dbt, Apache Airflow, ETL Development, Testing, Data Integration, AWS Development, Data Modeling, Data Vault, Data Warehousing, Git, CI/CD, Code Reviews, Data Lineage, JSON
• •Client-facing project experience in collaborative teams
• •Ability to communicate complex solutions clearly
• •Strong organizational and interpersonal skills
• •3+ years of experience in the pharmaceutical or healthcare industry
• •Knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems
• •Experience with AI-driven data solutions and machine learning pipelines

Tasks

• •Design and build scalable data pipelines and storage solutions
• •Lead the creation of FAIR data products
• •Collaborate with process experts to model data landscapes
• •Acquire, ingest, and process data from diverse sources
• •Develop ERDs and reusable pipelines with data scientists
• •Uphold data governance standards for regulatory compliance
• •Address data quality issues to maintain asset accuracy
• •Follow best practices in data engineering and validation
• •Mentor junior engineers in engineering practices
• •Ensure adherence to Information Security standards
• •Collaborate with infrastructure teams on technology stack
• •Contribute to templates and best practices for technology

Tools & Technologies