Top Talent Recruitment is working with a leading tech outsourcing company that is looking to recruit a Data Engineering Lead to join their team in Dublin, Ireland.
Position: Data Engineering Lead
Location: Onsite - Dublin, Ireland
Employment type: Full-time
Remuneration: Competitive package.
DUTIES AND RESPONSIBILITIES:
- 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.
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).
BENEFITS:
- Competitive salary package aligned to senior data engineering market
- Opportunity to work on enterprise-scale payment technology platforms
- Exposure to cutting-edge Big Data, cloud, and analytics ecosystems
- Leadership opportunity within a global engineering organisation
- Career progression within a major international technology environment
- Work on high-impact data platforms powering analytics and AI solutions
- Guidance and tools to reach career potential.
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