Posted 20 June, 2026
Graduate Data Engineer / Data Analyst / Data Science Trainee
Aligned Automation
Limerick, Limerick, Ireland
Full Time
Reference: 1997563662
Job Description
Graduate Data Engineer / Data Analyst / Data Science Trainee
Location: Limerick
Job Type: Full-Time
Experience: Fresh Graduates / Entry-Level
Eligibility: EU Nationals Preferred.
About the Role
We are seeking enthusiastic and motivated graduates with a strong interest in Data Engineering, Analytics, and Data Science to join our growing team in Limerick. This is an excellent opportunity for recent graduates to build hands-on experience working with modern data platforms, cloud technologies, analytics tools, and AI-driven solutions in a collaborative environment.
The role is designed for candidates who are passionate about data, problem-solving, automation, and emerging technologies, and who are eager to develop practical industry experience.
Key Responsibilities
Required Qualifications
Preferred Skills
Ideal Candidate
We are looking for self-motivated graduates who demonstrate curiosity, initiative, adaptability, and a genuine passion for working with data and technology. Candidates who actively build projects, explore AI tools, or continuously learn new technologies will stand out.
Graduate Data Engineer / Data Analyst / Data Science Trainee
Location: Limerick
Job Type: Full-Time
Experience: Fresh Graduates / Entry-Level
Eligibility: EU Nationals Preferred.
About the Role
We are seeking enthusiastic and motivated graduates with a strong interest in Data Engineering, Analytics, and Data Science to join our growing team in Limerick. This is an excellent opportunity for recent graduates to build hands-on experience working with modern data platforms, cloud technologies, analytics tools, and AI-driven solutions in a collaborative environment.
The role is designed for candidates who are passionate about data, problem-solving, automation, and emerging technologies, and who are eager to develop practical industry experience.
Key Responsibilities
- Assistin building, maintaining, and optimizing data pipelines and ETL processes.
- Supportdata collection, cleansing, transformation, and validation activities.
- Workwith structured and unstructured datasets for reporting and analyticspurposes.
- Developdashboards, reports, and visualizations using analytics tools.
- Collaboratewith cross-functional teams to understand business and technicalrequirements.
- Supportdata modeling, database management, and cloud-based data solutions.
- Participatein AI, machine learning, and predictive analytics initiatives whereapplicable.
- Documenttechnical processes, workflows, and data definitions.
- Contributeto process automation and continuous improvement initiatives.
- Learnand apply industry best practices in data engineering, analytics, andgovernance.
Required Qualifications
- Bachelor'sor Master's degree in:
- ComputerScience
- DataScience
- InformationTechnology
- SoftwareEngineering
- Stronganalytical and problem-solving skills.
- Basicunderstanding of databases and SQL.
- Familiaritywith Python, R, Java, or similar programming languages is an advantage.
- Understandingof data analytics, reporting, or visualization concepts.
- Exposureto Power BI, Tableau, Excel, or similar analytics tools is desirable.
- Interestin AI, Machine Learning, Big Data, or Data Engineering technologies.
- Strongcommunication and teamwork skills.
- Eagernessto learn and adapt in a fast-paced environment.
Preferred Skills
- Academicor personal projects related to data analytics or software development.
- Internship,research, or project experience involving data handling.
- Knowledgeof Git/GitHub or version control systems.
- Understandingof APIs and data integration concepts.
- Familiaritywith modern data stack technologies is a plus.
Ideal Candidate
We are looking for self-motivated graduates who demonstrate curiosity, initiative, adaptability, and a genuine passion for working with data and technology. Candidates who actively build projects, explore AI tools, or continuously learn new technologies will stand out.
