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Lead Data Engineer

External
henryschein logoHenryschein · Dublin, Ireland
Full-timeOn-siteToday
AzureCI/CDData ModelingETLFeature EngineeringKafka
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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 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).

Benefits

Health insurance

Additional Information

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.


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