BASE life science

Data Engineer

• Design, develop, automate, and maintain robust data pipelines
• Build, implement, and automate data ingestion pipelines integrating structured, semi-structured, and unstructured data sources
• Apply business logic and transformations to ingested data
• Develop and maintain data processing solutions using Azure Databricks, Azure Data Factory, SQL, Python, and PySpark
• Apply data quality practices and frameworks to minimize anomalies and produce reliable downstream data
• Implement error handling, exception management, monitoring, and auditing mechanisms
• Maintain end-to-end data traceability and support data lineage
• Design and execute end-to-end tests across varied data scenarios
• Ensure accurate and reliable data flow from source to target
• Collaborate with data privacy officers, business analysts, quality assurance teams, cross-functional teams, and pharmaceutical domain experts
• Support data architecture for advanced analytics and business intelligence across pharmaceutical projects
• Contribute to meaningful consulting and technology solutions for life sciences clients

Data Engineer – DInA

Business Analyst

• Translate pharma customers’ business needs into user stories and technology
• Participate in IT implementation projects for high-profile life science clients from initiation to completion
• Support digital asset management projects
• Work within the Data and Analytics practice area
• Apply commercial-domain knowledge and technology expertise to maximize value from clients’ digital platforms
• Run workshops, prepare documentation, and conduct customer alignments
• Support clients’ analytics challenges and data-driven ambitions
• Structure and present complex situations to technical, business, and executive stakeholders
• Continuously build knowledge in relevant IT solutions and business areas

Content Marketing Manager

• Act as Subject Matter Expert on projects, providing insight on content processes, use cases, ways of working and challenges
• Act as point of contact between project teams and customer stakeholders, including senior client sponsors
• Lead and facilitate design workshops, process assessments and requirements-gathering sessions
• Advise customers on content and digital asset management principles and appropriate platform functionality
• Identify AI growth opportunities in commercial content and/or medical spaces and translate them into client value
• Build and strengthen client relationships and identify and manage upselling opportunities
• Identify and implement new offerings and changes to the offering catalogue
• Identify new use cases, tools, processes and methodologies to amplify offering capabilities
• Develop value propositions and build the go-to-market approach for the Content Excellence offering
• Define standards and best practices and ensure consistent application across delivery teams
• Form part of the Content Excellence leadership team
• Work with Consulting, Delivery and Portfolio teams on proposals and bids
• Contribute to team growth through recruitment, onboarding and coaching
• Continuously build knowledge in relevant IT solutions and business areas

Data Engineer – DInA

Business Analyst

Content Excellence Subject Matter Expert, DK/ES