Senior Data Engineer

About the job

When our values align, there's no limit to what we can achieve.

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

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!