Find Machine learning software development engineer, ai ops integration Jobs in Dublin, D

Data Engineering Lead – English Speaker – Office Based
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- Full-time
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1d
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Dolby —Dublin, County Dublin
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- Full-time
- Azure
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Quick apply
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Siena AI —Dublin, County Dublin
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ServiceNow —DUBLIN 2, County Dublin
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Pluralsight —Dublin, County Dublin
- Full-time
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ASIC Design/Verification, Architect
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Uniphar PLC —DUBLIN 24, County Dublin
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Synopsys —Dublin, County Dublin
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- Full-time
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Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Azure
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Data Engineering Lead – English Speaker – Office Based

SpotOn TA -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

Azure
Computer Science
Software Engineering
Big data
Engineering
Spark
NoSQL
English
Apache Hive
Java
SQL
AWS
Distributed systems
Scala
Computer Engineering
Agile
Python
Hadoop

Full 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 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 [email protected] 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).”

Apply Now

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machine learning software development engineer, ai ops integration jobs in dublin, d

Data Engineering Lead – English Speaker – Office Based

Engineering Manager, Security

Senior Software Engineer, Cash Forecasting

Product Manager

EMEA Senior Tax Analyst

Customer Success Manager

ASIC Design/Verification, Architect

Talent Acquisition CoE Lead

ASIC Digital Verification Architect

Commercial Operations Engineer

Data Engineer

Machine Learning Engineer

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