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

Senior Principal, Data Engineering (Remote)

London Full-Time 43200 - 72000 £ / 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: Join Jazz Pharmaceuticals, a global biopharma innovating life-changing medicines for serious diseases.
  • Benefits: Enjoy remote work, flexible vacation, and comprehensive health insurance.
  • Why this job: Make a real impact in healthcare while working with cutting-edge technology and a diverse team.
  • Qualifications: Bachelor's degree in relevant fields; 5-7 years of data engineering experience, preferably in healthcare.
  • Other info: Work in a collaborative environment with opportunities for professional growth and training.

The predicted salary is between 43200 - 72000 £ 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, fostering a collaborative and inclusive work culture. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive environment for professional development, all while working remotely from anywhere. Our competitive benefits package, including comprehensive health insurance and flexible vacation policies, ensures that our employees are well taken care of, allowing them to focus on making a meaningful impact in the biopharma industry.
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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

Prepare to discuss your experience with data quality frameworks and compliance regulations like HIPAA and GDPR. Being able to articulate how you've implemented these in past projects will demonstrate your readiness for the responsibilities of this role.

✨Tip Number 4

Showcase your problem-solving skills by preparing examples of challenges you've faced in data engineering and how you overcame them. This will highlight your analytical abilities and fit for a role that requires collaboration with various stakeholders.

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

Expert knowledge of Python
Expert knowledge of R
Expert knowledge of SQL
Proficiency with AWS services (S3, Redshift, FSx, Glue, Lambda)
Strong background in data modeling and database design
Experience with unstructured database technologies (e.g. NoSQL)
Experience with containerization (Docker, 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)
Strong problem-solving and analytical abilities
Excellent communication skills
Experience working in an Agile development environment
Ability to create and optimise ETL/ELT processes
Experience with data quality frameworks and validation processes
Familiarity with data privacy regulations (HIPAA, GDPR)

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Principal, Data Engineering position. Understand the key responsibilities and required skills, especially those related to AWS services, data engineering tools, and compliance with data privacy regulations.

Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly in healthcare or research-related fields. Emphasise your expertise with Python, R, SQL, and AWS technologies, as well as any experience with data modelling and database design.

Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific requirements of the role. Mention your experience with data pipelines, ETL processes, and collaboration with stakeholders, showcasing how you can contribute to Jazz Pharmaceuticals' mission.

Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and professional, reflecting your attention to detail and commitment to quality.

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 utilised AWS services such as S3 and Redshift, as well as your experience with ETL/ELT processes.

✨Understand the Company’s Mission

Jazz Pharmaceuticals is focused on transforming lives through innovative medicines. Familiarise yourself with their portfolio and be ready to discuss how your role as a Senior Principal in Data Engineering can contribute to their mission, especially in areas like oncology and neuroscience.

✨Prepare for Collaboration Questions

Since the role involves working closely with R&D researchers and stakeholders, think of examples that demonstrate your ability to collaborate effectively. Be ready to discuss how you’ve gathered data requirements and delivered solutions in a global working model.

✨Emphasise Compliance Knowledge

Given the importance of data privacy regulations like HIPAA and GDPR in this role, be prepared to talk about your experience with compliance in data handling. Highlight any relevant projects where you ensured data quality and regulatory adherence.

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

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-07-13

  • B

    buyer

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