Senior Data Engineer

About Parexel
Parexel is a leading global clinical development partner delivering insights-driven clinical and consulting solutions to the life sciences industry. With 22,000+ employees worldwide, we partner with biopharmaceutical companies and research sites to design and deliver patient-focused clinical trials that broaden access and make research a care option for anyone, anywhere.
We work with focus, agility, and shared purpose. We move with urgency to address patient needs and accelerate the delivery of new therapies. We embrace bold thinking, adapt quickly to change, and continually raise the bar for the speed and quality of clinical research. We are expanding our team and seeking talented individuals to help drive industry leading innovation, With Heart(R).
About The Role
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, and mentoring Software Engineers, with opportunities to deepen your expertise and influence how clinical data is shared.
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. With diverse teams and continuous learning opportunities, the Software Development Engineer can explore career paths and expand skills across clinical research.
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
You'll Thrive In This Role If You Bring
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
Required Qualifications
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
We believe in flexibility, growth, and creating space for people to do their best work. Join us and be part of a team where your contributions help shape the future of clinical research.
If this job doesn't sound like the next step in your career, but perhaps you know of someone who'd be perfect fit, send them the link to apply!

Work arrangement
Yes