Data Engineering Lead – English Speaker – Office Based

*** 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 Language, C1/C2 level.
• Strong SQL skills and experience with relational and NoSQL databases
• Strong experience with Python, Scala, or Java
• Strong experience with Databrick
• 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 & 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.

How To Apply

If you are interested in the job and you meet the above criteria you need to:

Kindly send your CV In English to jobs@spotonta.com while including the Job Title in the subject and the consent statement in your CV.

By sharing your CV with us by email, you are consenting to the following statement.

Please take into consideration that due to the large volume of applicants, we will only contact the shortlisted ones

In the CV, or resume or application, place the following statement:

“I hereby consent to the processing of my personal data for the purpose of current and future recruitment processes through “SpotOn TA Sp. z o.o.” and its clients and partners, pursuant to the Act of 29 August 1997 on the protection of personal data (Journal of Laws of 2002, No. 101, item 926, as amended).”