Job Description:
Lonza is a global leader in life sciences operating across three continents. Our greatest scientific solution is talented people working together to devise ideas that help businesses improve lives.
We are looking for an experienced Azure Data Engineer to lead the team in Manchester. This hands-on engineering position focuses on business and digital transformation. The Senior Data Engineer will work with multiple stakeholders across the Lonza network providing solution architecture and engineering for data ingestion and modelling challenges, delivering operational support and troubleshooting to the business.
The role will be responsible for maintaining the unified data platform and managing the solutions delivered on the platform at Lonza, with operational support and troubleshooting, as well as coordinating data engineers across several parallel projects.
Key Responsibilities:
* Support Data Strategy and Architecture: Enable and execute the organization's Data Strategy, focusing on the development and implementation of robust Data Architecture solutions.
* Drive Data Platform Solutions: Design and support data platform architecture; evaluate, assess, and estimate new projects and requests.
* Coordinate Data Engineering Efforts: Lead and support data engineers in addressing challenges related to data ingestion, transformation, and modeling.
* Streamline Enterprise Data Tools: Collaborate with the Data Governance Board, Digital Council, and IT teams to consolidate enterprise data tools, aligning them to a unified Data Architecture.
* Collaborate with BI and Data Science Teams: Work closely with business intelligence analysts and data scientists to build and deliver innovative insights and analytics solutions.
* Enhance Data Literacy: Partner with internal stakeholders and data experts to share best practices and analytics expertise, fostering improved data literacy across the organization.
* Develop Robust Data Pipelines: Build and maintain pipelines for data ingestion, transformation, and integration from diverse sources, forming a strong foundation for analytics.
* Maintain the Unified Data Platform: Oversee and enhance the unified data platform and associated solutions, ensuring seamless analytics delivery and operational support.
* Optimize CI/CD Pipelines: Maintain and improve Continuous Integration (CI) and Continuous Deployment (CD) pipelines to enable agile, collaborative development processes.