Data Engineering Lead – English Speaker – Office Based

SpotOn TA Full Time Dublin, Ireland July 20, 2026 - January 31, 2027 BPO - Business Process Outsourcing - Data Engineering - Information Technology - Multilingual - Shared Services Center - Call Center - Shared Services Center - Technical Support - Technical Support

This Job Opportunity is only offered for candidates living and eligible to work in Ireland.

Client: Tech BPO Company.

Office Based – Dublin, Ireland.

Job Description

As a Data Engineering Lead, you will work closely with Data Scientists, Product Managers, and Engineering teams.

Detailed Duties and Responsibilities

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

Targeted Qualifications

• Fluency in English, C1/C2 level.
• Strong SQL skills and experience with relational and NoSQL databases
• Strong experience with Python, Scala, or Java
• Strong experience with Databricks
• Strong understanding of distributed systems and data architecture principles
• Experience with cloud-native data engineering platforms/Cloud experience (AWS or Azure).
• Min 8+ years of experience in Data Engineering or Big Data environments
• Degree in Computer Science, Software Engineering, or related field
• Experience building and maintaining large-scale data pipelines
• Hands-on experience with Apache Spark / PySpark
• Proven experience leading technical initiatives or engineering teams
• Experience with Hadoop ecosystem (Hive, Impala, Oozie, Sqoop, NiFi)
• Experience working in Agile engineering environments

Interpersonal Skills

• Communicative, Speak and/or write well and get your ideas across to others easily.
• Interpreter, Look at things and make sense of them, figure what is needed and how to fulfil it.
• Confident, Pleasant, Energetic, Helpful, Trustworthy
• Efficient, Perform tasks in the fastest and simplest ways that they can be done.
• Organized and punctual, put things in order so that they run smoothly and are always on time.
• Flexible, Can carry different responsibilities, sometimes with very little advanced notice.
• Listen, Listen/pay attention to what others are saying, without daydreaming or judging them.
• Precise, Make sure that things are done accurately, correctly, and exactly.
• Willingness to acquire new knowledge.
• Service Customers, be friendly patient, and polite with customers and try your best to service their needs/wants.

Offer and Benefits

• Office Based – Dublin, Ireland.
• Career progression within a major international technology environment.
• A global team committed to the company values.
• A dynamic work environment in a dynamically international company.