Data Engineering Lead

  • Dublin, Ireland
  • Dashco
  • Full-Time
  • On-Site

Job Description:

Dashco is supporting the search for a Data Engineering Lead with a leading tech outsourcing company in Dublin, Ireland.

Position: Data Engineering Lead

Location: Onsite - Dublin, Ireland

Employment type: Full-time

Job responsibility:

  • Lead the design, development, and implementation of scalable data engineering solutions
  • Build and optimise large-scale data pipelines for analytics and machine learning use cases
  • Design and maintain reusable, high-performance data products and frameworks
  • Integrate data from multiple structured and unstructured sources into unified platforms
  • Drive automation across data engineering and data science workflows
  • Define and evolve data architecture to support scalability, reliability, and performance
  • Identify opportunities to simplify complex systems and improve platform efficiency
  • Ensure best practices in engineering design, coding standards, and system reliability
  • Collaborate on the design of distributed systems and cloud-based data platforms
  • Work closely with Data Scientists, Product Managers, and Engineering teams
  • Translate business requirements into scalable technical solutions
  • Support cross-functional delivery of data-driven products and services
  • Communicate technical concepts effectively to both technical and non-technical stakeholders
  • Lead and mentor data engineers across projects and squads
  • Provide technical guidance and support engineering capability development
  • Contribute to team growth and engineering excellence across the organisation
  • Promote agile delivery and collaborative engineering practices
  • Develop and maintain robust ETL/ELT pipelines
  • Optimise performance of data processing systems and workflows
  • Ensure data quality, reliability, and consistency across platforms
  • Support production-grade deployment of data engineering solutions.

Job requirements:

  • 8+ years of experience in Data Engineering or Big Data environments
  • Strong experience with Python, Scala, or Java
  • Hands-on experience with Apache Spark / PySpark
  • Strong experience with Databrick
  • Experience with Hadoop ecosystem (Hive, Impala, Oozie, Sqoop, NiFi)
  • Strong SQL skills and experience with relational and NoSQL databases
  • Experience building and maintaining large-scale data pipelines
  • Strong understanding of distributed systems and data architecture principles
  • Experience working in Agile engineering environments
  • Proven experience leading technical initiatives or engineering teams
  • Degree in Computer Science, Software Engineering, or related field
  • Experience with cloud-native data engineering platforms/Cloud experience (AWS or Azure).