Senior Principal, Data Engineering (Remote)
Senior Principal, Data Engineering (Remote)

Senior Principal, Data Engineering (Remote)

Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects and develop data pipelines for research and development.
  • Company: Jazz Pharmaceuticals innovates life-changing medicines for serious diseases globally.
  • Benefits: Enjoy remote work, flexible vacation, and comprehensive health insurance.
  • Why this job: Join a mission-driven team focused on transforming patient lives through innovative therapeutics.
  • Qualifications: Bachelor's in relevant field; 5-7 years of data engineering experience, preferably in healthcare.
  • Other info: Work in a collaborative global environment with opportunities for professional growth.

The predicted salary is between 54000 - 84000 £ per year.

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide.

The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.

Essential Functions
  • Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.
  • Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
  • Build and maintain data repositories using AWS S3 and FSx technologies.
  • Establish data warehousing solutions using Amazon Redshift.
  • Build and maintain standard data models.
  • Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
  • Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
  • Create and maintain documentation for data processes, architectures, and workflows.
  • Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
  • Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
  • Maintain compliance with data privacy regulations such as HIPAA, GDPR.
  • May be required to develop, deliver or support data literacy training across R&D.
Required Knowledge, Skills and Abilities
  • Expert knowledge of data engineering tools such as Python, R and SQL for data processing.
  • Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
  • Expert proficiency with relational databases.
  • Strong background in data modeling and database design.
  • Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
  • Experience with Containerization such as Docker and EKS/Kubernetes.
  • Experience with one or more RnD research process and associated regulatory requirements.
  • Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
  • Experience with big data technologies and handling.
  • Knowledge of machine learning operations (MLOps) and model deployment.
  • Strong problem-solving and analytical abilities.
  • Excellent communication skills for collaborating with stakeholders.
  • Experience working in an Agile development environment.
Required/Preferred Education
  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred.
  • 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data.
Description of Physical Demands
  • Occasional mobility within office environment.
  • Routinely sitting for extended periods of time.
  • Constantly operating a computer, printer, telephone and other similar office machinery.

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation.

Senior Principal, Data Engineering (Remote) employer: buyer

Jazz Pharmaceuticals is an exceptional employer that prioritises innovation and patient care, offering a collaborative and inclusive work culture. Employees benefit from flexible working arrangements, comprehensive health insurance, and opportunities for professional growth within a global biopharma environment. With a commitment to developing life-changing medicines, Jazz fosters a sense of purpose and community among its workforce, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
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Contact Detail:

buyer Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Principal, Data Engineering (Remote)

✨Tip Number 1

Familiarise yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and Glue. Having hands-on experience or projects that showcase your proficiency with these tools can set you apart during discussions.

✨Tip Number 2

Network with professionals in the biopharma industry, especially those working in data engineering roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.

✨Tip Number 3

Stay updated on the latest trends in data engineering and healthcare data standards. Being able to discuss recent advancements or challenges in these areas can demonstrate your passion and commitment to the field during your conversations with the hiring team.

✨Tip Number 4

Prepare to discuss your experience with Agile development environments and how you've collaborated with cross-functional teams. Highlighting specific examples of successful projects can illustrate your ability to work effectively in a global setting, which is crucial for this role.

We think you need these skills to ace Senior Principal, Data Engineering (Remote)

Expert knowledge of Python for data processing
Expert knowledge of R for data processing
Expert knowledge of SQL for data processing
Proficiency with AWS services, particularly S3, Redshift, FSx, Glue, and Lambda
Strong background in data modeling and database design
Experience with unstructured database technologies (e.g. NoSQL)
Experience with containerization technologies such as Docker and EKS/Kubernetes
Knowledge of healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM)
Experience with big data technologies
Knowledge of machine learning operations (MLOps) and model deployment
Strong problem-solving and analytical abilities
Excellent communication skills for collaborating with stakeholders
Experience working in an Agile development environment
Ability to create and maintain documentation for data processes and architectures
Understanding of data privacy regulations such as HIPAA and GDPR

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS services and tools like Python, R, and SQL. Emphasise any projects related to healthcare or research data to align with Jazz Pharmaceuticals' focus.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming lives through innovative data solutions. Mention specific projects or experiences that demonstrate your ability to lead data initiatives and collaborate with stakeholders.

Highlight Relevant Skills: In your application, clearly outline your expertise in data modelling, database design, and familiarity with healthcare data standards. This will help you stand out as a candidate who understands the unique challenges of the biopharma industry.

Showcase Problem-Solving Abilities: Provide examples in your application that illustrate your strong problem-solving and analytical skills. Discuss how you've tackled complex data challenges in previous roles, especially in an Agile development environment.

How to prepare for a job interview at buyer

✨Showcase Your Technical Skills

Make sure to highlight your expertise in data engineering tools like Python, R, and SQL. Be prepared to discuss specific projects where you've successfully implemented AWS services such as S3 and Redshift, as these are crucial for the role.

✨Understand the Company’s Mission

Jazz Pharmaceuticals is dedicated to transforming lives through innovative medicines. Familiarise yourself with their portfolio and recent advancements in oncology and neuroscience to demonstrate your alignment with their mission during the interview.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities and how you handle data quality frameworks and compliance with regulations like HIPAA and GDPR. Prepare examples from your past experiences that showcase your analytical skills and attention to detail.

✨Emphasise Collaboration Skills

As the role involves working closely with R&D researchers and stakeholders, be ready to discuss your experience in collaborative environments. Highlight any Agile methodologies you've used and how you’ve effectively communicated complex data requirements to non-technical team members.

Senior Principal, Data Engineering (Remote)
buyer
B
  • Senior Principal, Data Engineering (Remote)

    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-07-13

  • B

    buyer

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