Senior Data Engineer (Microsoft Fabric)

About the Position

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.

Responsibilities

• 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

We Offer

• 18 days of paid annual leave
• 10 sick leaves
• Additional days off for special occasions
• Medical Care
• Health check-up
• Play Room
• IT Cluster membership
• Business Trip
• Tech Talks
• Training & Conferences
• Certification
• Accounting
• Corporate currency
• Work From Anywhere
• Sport
• Internal Activities & Events
• Maternity Leave Bonus
• National Holidays

About the Company

Our client is a leading global 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.