Junior Data Engineer

Designer Group

. Collaborate with stakeholders across Finance, Commercial, Operations, HR, BIM and Project teams to understand reporting and analytics requirements .

Posted 11/7/2026full-timeDublin • IrelandJuniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and reporting, with strong capabilities in SQL, Python, and Power BI for data transformation and visualization. Proficient in data governance, quality management, and collaboration with cross-functional teams to enhance reporting solutions.

Highest-signal resume keywords

Power BI DevelopmentSQL ProficiencyPython/PySpark ExperienceData Quality ManagementData Governance Understanding

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModellingDAX DevelopmentETL/ELT ProcessesData Pipeline DevelopmentData AnalysisData TransformationReporting SpecificationsRoot-Cause AnalysisData Quality ValidationDashboard Development

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsStakeholder EngagementAttention to Detail

Tools & Technologies

Microsoft FabricAzure Data FactorySynapse AnalyticsDatabricksGitAzure DevOps

Certifications & Qualifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)Microsoft Certified: Data Engineering on Microsoft Fabric (DP-700)

Industry Keywords

Data GovernanceData CataloguesConstructionEngineeringProject-Based Organisations

Tech Stack

Tools & technologies

AzureERPETLPySparkPythonSQL

About the role

Key responsibilities & impact

Collaborate with stakeholders across Finance, Commercial, Operations, HR, BIM and Project teams to understand reporting and analytics requirements
Translate business requirements into clear data and reporting specifications
Support prioritisation of reporting and data requests
Guide users adopting dashboards and self-service reporting solutions
Maintain communication with stakeholders regarding progress and delivery timelines
Analyse source data to identify inconsistencies, errors, duplicates and data quality issues
Support root-cause analysis and recommend improvements to business processes and system configurations
Implement data quality validation checks within data pipelines and reporting solutions
Maintain data definitions, business glossaries and related documentation
Contribute to data governance and continuous improvement initiatives
Develop and maintain data pipelines within Microsoft Fabric
Support the design and maintenance of data lakehouse and warehouse solutions
Write and maintain SQL and Python/PySpark code for data ingestion and transformation
Follow standards for testing, documentation, security, version control and deployment
Participate in peer reviews and code review processes
Monitor pipeline execution, scheduled refreshes and platform performance
Investigate, troubleshoot and resolve issues or escalate where appropriate
Create and maintain operational documentation and runbooks
Monitor Microsoft Fabric capacity utilisation and workload performance
Maintain alerts and monitoring processes for data platform operations
Design, develop and enhance Power BI reports, dashboards and semantic models
Develop DAX measures and apply best-practice data modelling techniques
Manage report publication, workspace administration, refresh schedules and security controls
Gather user feedback to improve reporting solutions and user experience
Maintain the report catalogue and support the full report lifecycle from request through retirement
Work collaboratively with Technology, IT, Enterprise Applications and BIM teams
Ensure compliance with GDPR, Information Security and AI governance requirements
Participate in training, mentoring and continuous professional development opportunities

Requirements

What you’ll need

Third-level qualification or degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics or a related discipline, or equivalent practical experience
Experience using Power BI, including data modelling, DAX, Power Query, dashboard and report development
Good working knowledge of SQL
Working knowledge of Python, including experience with PySpark
Understanding of ETL/ELT processes and data engineering principles
Understanding of data quality management and data modelling concepts
Strong analytical and problem-solving skills
Excellent communication and stakeholder engagement abilities
Strong attention to detail and a structured, methodical approach to work
Experience with Microsoft Fabric including Lakehouse, Warehouse, Notebooks and Fabric Pipelines (desirable)
Experience with Azure Data Factory, Synapse Analytics or Databricks (desirable)
Microsoft certifications such as PL-300, DP-600 or DP-700 (desirable)
Familiarity with Git, Azure DevOps or similar version control tools (desirable)
Experience working with ERP, CRM, HR or Project Management systems (desirable)
Understanding of data governance, data catalogues and modern data management practices (desirable)
Experience within construction, engineering, infrastructure or project-based organisations (desirable)
Microsoft Certified: Power BI Data Analyst Associate (PL-300) (desirable)
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) (desirable)
Microsoft Certified: Data Engineering on Microsoft Fabric (DP-700) (desirable)

Benefits

Comp & perks

Continuous professional development and career progression opportunities
Mentoring and support from experienced data professionals
Hands-on experience with Microsoft Fabric, Power BI and modern cloud-based data platforms
Training, mentoring and continuous professional development opportunities
Opportunity to join a growing Technology team driving digital transformation
Opportunity to work for a leading international engineering contractor on complex projects