Senior Data Engineer (Full-/Part-time) (all genders)

 

Work Your Magic with us!  

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

 

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Your Role:

As a leading science and technology company, we are committed to harnessing data to drive better customer outcomes. In this role, you will be part of the Life Science Analytics Center of Excellence (ACE), a global team of data and analytics experts.

We are seeking a highly skilled and experienced Senior Data Engineer to join our Life Science Analytical Center of Excellence (ACE). The ideal candidate will have a strong background in data engineering, and thought leadership, with a passion for driving business outcomes through innovative data solutions.

 

Key Responsibilities:

Technical Leadership & Project Execution:

• Lead and guide technical teams in developing and implementing end-to-end Data & Analytics (D&A) products, including data engineering and visualization in our D&A platforms such as Palantir Foundry, Tableau, and AWS.
• Manage multiple projects simultaneously with a high degree of independence.
• Collaborate with cross-functional teams to drive technical implementations, ensuring alignment with business objectives.
• Support Product Owners (POs) in estimating development efforts, timelines, and resources.
• Identify and mitigate risks, ensuring successful project completion by introducing necessary quality gates and release management.
• Design data models for use cases, ensuring they meet business requirements and are scalable.

Stakeholder Communication & Collaboration:

• Collaborate with both technical and non-technical to understand and translate business requirements.
• Act as a liaison between technical teams and business stakeholders.
• Partner closely with data engineers, product owners, and solution architects

Ownership & Maintenance:

• Take ownership of developed solutions, ensuring ongoing maintenance and optimization.
• Implement end-to-end data solutions, emphasizing code review and quality checks.
• Collaborate with teams to delegate technical tasks, address issues, implement enhancements, and optimize code performance.
• Help engineers design code modules that ensure long-term maintainability through adherence to best-in-class software design principles.
• Ensure engineers adhere to defined standards.
• Conduct comprehensive code reviews, offering detailed and constructive feedback to enhance code quality.

Mentoring & Training:

• Facilitate knowledge sharing and the adoption of best practices.