Data Engineer / Architect

Company Information

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell and natural killer (NK) cell-based immunotherapy. 

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel) in 2017. Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

Legend Biotech is seeking a Data Engineer / Architect as part of the IT team based in Somerset, NJ.

Role Overview

As a Data Engineer/Architect, you will play a crucial role in designing, building, and maintaining our data infrastructure and pipelines. This position demands hands-on experience with a variety of data engineering tools and technologies, including Talend, Qlik Replicate, Data Bricks, and Azure Data Factory. A strong understanding of cloud-based data architecture and patterns, particularly Azure Data Lake and Data Lakehouse, is essential. The ideal candidate will have 5 to 7 years of relevant experience in data engineering and a proven track record of delivering robust data solutions.

Key Responsibilities  

• Develop, maintain, and optimize ETL (Extract, Transform, Load) processes using ETL technologies to ensure efficient data integration and transformation workflows.
• Design, implement, and manage data warehouse and data lakehouse using Snowflake EDW (Enterprise Data Warehouse) and Azure Data Lake.
• Utilize Databricks for data processing and analytics.
• Implement data replication solutions using Qlik Replicate to ensure data consistency and availability across systems.
• Design and implement scalable and efficient data architecture on cloud platforms, adhering to best practices and patterns, especially with Azure cloud technologies.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate solutions.
• Provide technical guidance and support to team members and other departments as needed.

• A bachelor’s degree in computer science, Information Technology, or a related field; a Master’s degree is a plus.
• 5 to 7 years of hands-on experience in data engineering.
• Proficiency in ETL/ELT (Extract, Load, Transform) technologies for data integration and transformation.
• Experience with Snowflake EDW and Azure Data Lake.
• Familiarity with Databricks and Qlik Replicate.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• The ability to work independently while managing multiple projects simultaneously.

This role requires the candidate to commute to our Somerset and Raritan locations in NJ, with a mandatory onsite presence of three days per week.

If you are passionate about data engineering and looking to make a significant impact within a forward-thinking organization, we encourage you to apply and join our innovative team at Legend Biotech.

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Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend’s policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

Legend Biotech maintains a drug-free workplace.