Senior Data Engineer

Role Purpose:

The Senior Data Engineer will support and enable the Data Architecture and the Data Strategy. Supporting solution architecture and engineering for data ingestion and modelling challenges. The role will support the deduplication of enterprise data tools, working with the Lonza Data Governance Board, Digital Council and IT to drive towards a single Data and Information Architecture. This will be a hands-on engineering role with a focus on business and digital transformation. The role will be responsible for managing and maintain the Data Architecture and solutions that deliver the platform at with operational support and troubleshooting. The Senior Data Engineer will also manage (no reporting line changes but from day-to-day delivery) and coordinate the Data Engineering team members (Internal and External) working on the various project implementations.

Experience

• 7-10 years experience with digital transformation and data projects.
• Experience in designing, delivering and managing data infrastructures.
• Proficiency in using Cloud Services (Azure) for data engineering, storage and analytics.
• Strong SQL and NoSQL experience
• Data Modelling
• Hands on developing pipelines, setting-up architectures in Azure Fabric.
• Team management experience (internal and external resources).
• Good understanding of data warehousing, data virtualization and analytics.
• Experience in working with data analysts, data scientists and BI teams to deliver on data requirements.
• Data Catalogue experience is a plus.
• ETL Pipeline Design is a plus
• Python Development skills is a plus
• Realtime data ingestion (E.g. Kafka)

Licenses or Certifications Beneficial;

Knowledge

• Good understanding about integration, ETL, API and Data sharing concepts.
• Understanding / Awareness of Visualization tools is a plus
• Knowledge and understanding of relevant legal and regulatory requirements, such as CFR 21 part 11, EU General Data Protection Regulation, Health Insurance Portability and Accountability Act (HIPAA) and GxP validation process would be a plus.

Skills

• The position requires a pragmatic leader with sound knowledge of data, integration and analytics.
• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate technical concepts to nontechnical audiences.
• Exhibit excellent analytical skills, the ability to manage and contribute to multiple projects under strict timelines, as well as the ability to work well in a demanding, dynamic environment and meet overall objectives.
• Project management skills: scheduling and resource management are a plus.
• Ability to motivate cross-functional, interdisciplinary teams to achieve tactical and strategic goals.
• Data Catalogue
• Project and Team management skills are plus.
• Strong SAP skills are a plus.