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We are looking for an experienced Senior Data Engineer (Microsoft Fabric) to join a project for our client, a leading global contract research organization (CRO) that supports pharmaceutical, biotechnology, and medical device companies in the development of new therapies. The company provides comprehensive clinical trial services, from early-phase development to post-approval studies. We are seeking a self-motivated professional with strong collaboration skills and a passion for applying technical expertise to help address drug development challenges and enhance a world-class clinical trials informatics platform. In this role, you will work within cross-functional product teams to design, build, and evolve a modern data platform that directly impacts drug development teams, clinical trial investigators, and ultimately, patients.
Job Responsibility
Architect and implement robust ELT processes using Azure Data Factory and Microsoft Fabric
Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from multiple enterprise sources into Microsoft Fabric Lakehouses, Warehouses, and downstream Azure SQL databases
Build and maintain cloud-based data platforms and analytics solutions using Microsoft Fabric
Implement and promote modern software engineering principles and best practices in CI/CD and DevOps
Collaborate closely with data engineers, infrastructure teams, business stakeholders, and application teams to ensure effective data integration and accessibility
Partner with data analysts and data scientists to enable analytics and support data-driven decision-making
Enable and support self-service data engineering capabilities across the wider data organization
Identify opportunities for improving the data platform infrastructure and deliver scalable solutions
Monitor system performance, troubleshoot issues, and optimize platform reliability and efficiency
Develop and maintain technical documentation related to the data platform and its infrastructure
Requirements
5+ years of experience in Data Engineering
Strong hands-on experience with ELT, data pipelines, and data integration tools, including Microsoft Fabric and Azure Data Factory (ADF)
Proven experience designing and deploying scalable data architectures with a strong focus on ETL/ELT processes
Solid experience designing, developing, and managing enterprise-grade data platforms
Experience working with large-scale datasets, modern data warehouse technologies such as Snowflake, and data processing solutions in real-time and batch environments
Experience with cloud technologies, preferably Microsoft Azure, but AWS will be fine too
Strong knowledge of database technologies, including Oracle, MS SQL Server, and PostgreSQL
Experience with data governance concepts, including data lineage, data quality, and data security
Ability to design and manage data storage, data processing, and data quality frameworks
Ability to work effectively in a fast-paced environment
Strong communication and collaboration skills with a team-oriented mindset
Upper-Intermediate or higher level of English proficiency
Nice to have
Experience in healthcare, life sciences, MedTech, or clinical trials domains
Understanding of healthcare data privacy and compliance standards, including HIPAA
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field