Lead Data Engineer

Brasseler USA Inc.; Dublin; On-site; EUR 90,000 - 140,000; Full time

Job summary

Henry Schein seeks a highly technical Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms in Ireland. You will lead a small offshore data engineering team and coordinate cross‑functional partners to deliver robust, production‑grade data assets.

The role emphasizes hands‑on work with Databricks, Spark, Python/Scala, and Azure, ensuring high performance, quality, and observability across data lifecycles.

Qualifications

• 8–12 years of data engineering experience.
• Proven leadership or coordination of offshore teams.
• Deep hands-on Databricks and Spark expertise.
• Strong Python or Scala and SQL skills.
• Cloud data platforms experience, Azure preferred.
• Solid data modeling, streaming architectures, lifecycle.
• Experience with data quality, lineage, governance.

Responsibilities

• Design, build, and optimize batch and real-time pipelines using Databricks and Spark.
• Create scalable lakehouse architectures and data models.
• Provide technical leadership for offshore data teams.
• Define tasks, review deliverables, ensure standards and timelines.
• Lead ETL/ELT frameworks and reusable patterns.
• Tackle data challenges: tuning, skew, partitioning at scale.
• Implement data quality, validation, observability frameworks.
• Collaborate with API, Analytics, and Platform teams.
• Drive CI/CD and testing for data pipelines.
• Troubleshoot production issues to ensure high availability.

Skills

Databricks

Spark

Python/Scala

SQL

Offshore team leadership

Azure

Data modeling

Data governance

Performance tuning

CI/CD for data pipelines

Kafka (preferred)

Tools

Azure Data Services

Snowflake

Kafka

Job description

Job Description Role Summary

We are seeking a highly technical Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms. This role is primarily hands‑on, with responsibility for leading and coordinating a small offshore data engineering team to deliver high‑quality, performant data solutions.

Key Responsibilities

• Design, develop, and optimize complex batch and real-time data pipelines using Databricks, Spark, and related technologies.
• Build and maintain scalable lakehouse architectures and high‑performance data models to support business driven outcomes
• Provide technical leadership and day‑to‑day coordination for a small offshore data engineering team.
• Define tasks, review deliverables, and ensure adherence to engineering standards and timelines.
• Lead the implementation of advanced ETL/ELT frameworks and reusable data engineering patterns.
• Solve complex data challenges including performance tuning, data skew, partitioning, and large‑scale processing.
• Implement robust data quality, validation, and observability frameworks.
• Collaborate closely with API, Analytics, and Platform teams to deliver reliable, production‑grade data assets.
• Drive best practices in coding standards, testing, and CI/CD for data pipelines.
• Troubleshoot and resolve production issues, ensuring high availability and reliability.
• Act as the primary liaison between onshore stakeholders and offshore delivery teams.

Required Qualifications

• 8–12 years of experience in data engineering.
• Proven experience leading or coordinating offshore or distributed engineering teams.
• Deep hands‑on expertise with Databricks, Spark, and distributed data processing.
• Advanced proficiency in Python and/or Scala, plus strong SQL skills.
• Strong experience with performance tuning and optimization of large‑scale data pipelines.
• Experience with cloud data platforms (Azure strongly preferred).
• Solid understanding of data modeling, streaming architectures, and data lifecycle management.
• Experience implementing data quality, lineage, and governance controls.

Preferred Experience

• Preferred Experience with Kafka/Confluent and real‑time streaming pipelines.
• Exposure to Snowflake or similar cloud data warehouses.
• Experience supporting AI/ML pipelines or feature engineering workflows.
• Background in regulated industries (e.g., healthcare).

Henry Schein is committed to the principle of equal opportunities in employment in all spheres of its operation. Henry Schein UK Holdings strives 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.

Over 90 years ago Henry Schein borrowed $500 to start a corner pharmacy in Queens, New York, nearly 30 miles from Melville, New York, where our corporate headquarters resides today.

In the depths of the Great Depression, Henry and his wife Esther made a bold bet on their future all 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 now a 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 founding we have stayed true to Henry and Esther’s values which has allowed us to evolve, expand, and grow our Company. Now serving more than 1 million customers 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 by providing 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 matter the role you are seeking, we encourage you to come be 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 www.henryschein.com/careers, as a result of a physical or mental impairment, you can request reasonable accommodations. Please e‑mail the appropriate email address below with the 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.

US Candidates: [e-mail] UK and Ireland Candidates: [e-mail] Australia and New Zealand Candidates: [e-mail] Malaysia Candidates: [e-mail] Italy Candidates: [e-mail]

It is important to us to offer different types of work arrangements. Please see the types we offer below:

Work Arrangements

• 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.