Data Engineering Lead – English Speaker – Office Based

SpotOn TA; Dublin; On-site; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Office based Dublin

Career progression

Global team

Dynamic work environment

Job summary

SpotOn TA in Dublin, Ireland is seeking a Data Engineering Lead to collaborate with Data Scientists, Product Managers, and Engineering teams. This role focuses on leading data engineers, building scalable data pipelines, and ensuring reliable data platforms for analytics and ML use cases.

The position emphasizes cross-functional collaboration, agile practices, and driving data architecture improvements to support growth in a dynamic, international tech environment.

Qualifications

• Fluent English at high proficiency is required.
• Strong SQL and experience with relational and NoSQL databases.
• Hands-on experience with Python, Scala, or Java.
• Experience with Databricks and Apache Spark/PySpark.
• Solid understanding of distributed systems and data architecture.
• Experience with cloud-native data platforms (AWS or Azure).
• Minimum 8+ years in Data Engineering or Big Data environments.
• Bachelor's degree in CS/Software Engineering or related field.

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.
• Promote agile delivery and collaborative engineering practices.
• Build and optimise large-scale data pipelines for analytics and ML use cases.
• Define and evolve data architecture to support scalability, reliability, and performance.

Skills

Fluency in English (C1/C2)

SQL skills

Python/Scala/Java

Distributed systems

Cloud platforms (AWS/Azure)

NoSQL databases

Data architecture

Education

Degree in Computer Science or Software Engineering

Tools

Databricks

Apache Spark/PySpark

Hadoop ecosystem (Hive/Impala/Oozie/Sqoop/NiFi)

Job description

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.