Lead Data Engineer - Global Data Organization page is loadedLead Data Engineer - Global Data OrganizationApply remote type Hybrid locations Dublin time type Full time posted on Posted 6 Days Ago job requisition id R130009Job Description We are seeking a highly experienced Lead Data Engineer to define and execute our data engineering strategy, driving the development of robust, scalable, and high-performance data infrastructure.
You will lead a talented team of data engineers, ensuring our data ecosystem meets the evolving needs of our enterprise data platform, APIs, advanced analytics, and other business requirements across the organization.
Ideal candidates bring deep technical expertise, a proven track record of building high-performing teams, and experience optimizing data solutions within an Azure Databricks environment.
You will collaborate closely with cross-functional stakeholders to ensure data initiatives align with broader business objectives, regulatory requirements, and best-in-class industry practices.
Key Responsibilities : Strategic Leadership : Develop and implement the vision, strategy, and roadmap for the enterprise data platform (e-procurement, pricing, and additional business functions), ensuring alignment with overall business goals and seamless integration with other technological functions.Team Development : Recruit, mentor, and lead a high-performing team of data engineers, fostering a culture of continuous learning, innovation, and collaboration.Data Infrastructure : Build and maintain scalable data pipelines and infrastructure to power analytics, business intelligence, and delivery of data—optimizing for both efficiency and cost-effectiveness.Cross-Functional Collaboration : Partner with the architectural team, data strategy, data governance, data science, analytics, product management, and infrastructure teams across the global organization to design and implement solutions that maximize data's strategic value.Data Governance & Compliance : Ensure our enterprise data ecosystem maintains our standard controls for data governance, security, and compliance, ensuring adherence to frameworks like GDPR, HIPAA, and CCPA.Automation & Reliability : Drive automation in data processing and infrastructure management, implementing robust monitoring, alerting, and self-healing capabilities to enhance system reliability.Technology Evaluation : Continuously evaluate, select, and integrate new tools and technologies, ensuring the data engineering ecosystem remains state-of-the-art.Documentation & Enablement : Oversee the creation of comprehensive documentation, training materials, and knowledge-sharing resources to empower teams across the organization.Vendor & Stakeholder Management : Manage relationships with third-party vendors, performing technology assessments and ensuring optimal return on investment.Thought Leadership : Serve as an advocate for data-driven decision-making, championing the strategic value of data engineering and influencing stakeholders at all levels.Required Qualifications : Education : Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a closely related field (or foreign equivalent).Experience : 10+ years in data engineering, including at least 5 years in a leadership role overseeing large-scale data initiatives.Data Architecture : Proven expertise in managing large-scale data architecture and distributed systems.Cloud Platforms : At least 7 years of hands-on experience with major cloud platforms (AWS, GCP, or Azure) and data technologies (Spark, Kafka, Snowflake, Redshift, Databricks, BigQuery, Hadoop) among others.Programming : Strong proficiency in SQL, Python, Java, or Scala, along with experience in frameworks like Apache Beam, Flink, or Airflow.ETL & Streaming : In-depth knowledge of ETL pipelines, data warehousing, and real-time streaming architectures.Containerization & Orchestration : Expertise with Docker and Kubernetes in data applications.Data Governance & Security : Deep understanding of IAM, encryption standards, and compliance requirements.DevOps & CI / CD : Proficiency in CI / CD practices and DevOps methodologies for data engineering workflows.Leadership & Communication : Exceptional leadership and stakeholder management skills, with the ability to influence diverse teams and executive partners.Preferred Qualifications : Industry Experience : Background in high-growth, data-driven organizations; healthcare industry experience is a plus.AI / ML & MLOps : Familiarity with AI / ML infrastructure and MLOps tools (e.g., TensorFlow, MLflow, feature stores).Cost Optimization : Experience in optimizing cloud-based data platforms for performance and cost-effectivenessHenry Schein is committed to the principle of equal opportunities in employment in all spheres of its operation.
Henry Schein UK Holdingsstrives to operate a policy of equal opportunity and not discriminate against any person gender, race, colour, nationality, ethnic or national origin, religion, sexual orientation, marital status, disability, age or any other characteristic protected by law.
About UsOver 90 years ago Henry Schein borrowed $500 to start a corner pharmacy in Queens, New York,nearly
30 miles fromMelville, New York, whereour corporate headquarters
resides today.In the depths of the Great
Depression,Henry and his wife Esther made a bold bet on their futureall while living their values of helping health happen and caring for their team and the community they served.
Their belief paid off far beyond what Henry and Esther might have dared to imagine in 1932.
Henry Schein is nowa Fortune 500 Company powered by a network of people and technology to be the world's leading provider of health care products, services and solutions to office-based dental and medical practitioners.
Since our foundingwe have stayed true to Henry and Esther's values which has allowed ustoevolve, expand, and grow our Company.Now servingmore than1 millioncustomers in 33 countries and
territories,the Company's network of trusted advisors provides more than 1 million customers globally with more than 300 valued solutions that help improve operational success and clinical outcomes.
We invite you to join approximately 25,000 Team Schein Members,who are critical to our success and are at the core of our Team Schein Values as our founders would have wanted.
We live those values by ensuring that our culture focuses on the wellness of our team, which we accomplish byproviding a safe space for individuals to develop and contribute authentically, with opportunities to give back to society and the communities where we live and work.
No matterthe role you are seeking, we encourage you to comebe a part of a team that makes the world a healthier place.
Henry Schein embraces diversity and is committed to providing equal opportunity to employees and applicants.
If you are unable or limited in your ability to complete the application process, including the use or access of , as a result of a physical or mental impairment, you can request reasonable accommodations.
Please e-mail the appropriate email address below withthe type of accommodation you are requesting.
Please include your first and last name, phone number, position for which you are interested in applying and geographic location in your request.
It is important to us to offer different types of work arrangements.
Please see the types we offer below :
Work From Home : Work is performed directly from the TSM's home office.
Hybrid : Time is scheduled between working from a TSM home office and at a company facility, as required.
Onsite : Work is performed exclusively at a company facility.
Field : Position requires traveling to different locations within a specific geographic territory, as assigned.
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Data Engineer • Dublin, Ireland