[Hiring] Senior Data Engineer @Parexel

Role Description

We are seeking a Senior Data Engineer to join our team. As a Senior Data Engineer, you will design, build, and support the data and software solutions that power clinical research and help advance new treatments for patients. This position plays a key role in data integration, software product development, and clinical trial information sharing.

You will collaborate with cross-functional teams, follow industry-standard processes, and contribute to solutions from design through live deployment. Responsibilities include:

• Building extract, transform, and load (ETL) programs and workflows in Databricks
• Developing technical specifications for data loading rules
• Architecting software products and customer-specific extensions
• Mentoring Software Engineers

You'll join a fast-paced, growth-oriented environment focused on making a meaningful impact through designing and building data integration solutions in Databricks, delivering software products and customer-specific extensions, and supporting clinical trial information sharing.

Key Responsibilities

• Design and develop ETL programs and workflows using Databricks
• Develop technical specifications for data loading rules
• Mentor and provide technical guidance to Software Engineers
• Design, implement, and architect software products
• Design, implement, and architect product extensions to meet customer-specific requirements
• Adhere to established standards while producing technical specifications, architectural specifications, data models, installation and qualification guides, and release notes for the software development process
• Support technical consulting activities for clients in the pharmaceutical industry
• Design and support clinical trial information sharing solutions
• Provide application support for existing products
• Support release management using versioning tools such as Azure DevOps Git and execute live deployments

Qualifications

• Strengths in data analysis, data modeling, database design, and software development
• Understanding of common system architecture frameworks and concepts, with technical awareness of security and application software development
• A willingness to work in a matrix environment and a strong appreciation for teamwork
• Excellent interpersonal, verbal, and written communication skills, with a client-focused approach to work
• Comfort working with Microsoft Azure, Azure Databricks, and Azure DevOps Git

Requirements

• Bachelor's Degree in technical discipline (Mathematics, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience
• Proven relevant experience in systems integration and implementation, or software development, or a related discipline
• Demonstrated ability to liaise with multiple stakeholders
• 5+ years of experience with Microsoft Azure components, in particular Azure SQL, Azure Databricks, and Azure Data Factory
• Experience implementing ETL solutions, particularly using Databricks
• Strong database development skills, particularly implementing SQL solutions in Azure SQL or Databricks environments, with good experience working with large datasets
• Experience improving data quality in data warehouses
• Experience testing ETL solutions, particularly using Genie and MS Copilot
• Experience using enterprise architecture modeling tools, frameworks, and methodologies such as TOGAF, SPARX EA, UML (Unified Modeling Language), BPMN (Business Process Model and Notation), and ArchiMate
• Experience designing data warehouses, applying Kimball's dimensional modeling techniques, and architecting ETL systems
• Experience working in Agile development methodology and authoring technical documents and specifications
• Experience debugging complex software systems
• Significant experience implementing data-driven systems with large-scale relational or object-oriented databases
• Ability to work in a high-pressure, results- and deadline-oriented environment

Benefits

• Flexibility, growth, and creating space for people to do their best work