As a Data Specialist, you will shape enterprise data and analytics solutions across projects and business units. You will design scalable data pipelines, models and warehouses to enable data-driven decision making. You’ll work with Azure Data Factory, Synapse and Power BI to transform data and build dashboards that inform strategic initiatives. This role sits at the crossroads of data engineering and business impact, helping the organization scale data capabilities while upholding governance and quality.
Pay / Benefits
Quarterly Profit Share Scheme
Flexible/remote working
Pension
Private Healthcare
Life Assurance
Educational assistance
Responsibilities
Design and maintain scalable data pipelines, data models and data warehouse solutions
Build and support ETL/ELT processes integrating multiple source systems
Develop and maintain solutions using Azure Data Factory, Azure Synapse and Power BI
Analyze complex datasets to identify trends and insights
Create dashboards and analytics for business and operations decision-making
Design and optimize data models and datasets
Use Python and SQL for data manipulation and analysis
Support and enhance data solutions as they scale
Utilize Azure DevOps for CI/CD, builds, releases and testing
Apply data governance standards, including GDPR, and work in an Agile environment
Key requirements
4–6 years' experience in Data Specialist/Data Engineering or closely related role
At least 2 years' experience in a lead capacity
Strong hands-on experience with Azure Data Factory
Strong experience with Azure Synapse
Strong experience with Power BI or equivalent BI/reporting technologies
Advanced SQL and database experience
Experience using Python for data manipulation and analysis
Experience with ETL/ELT processes and data pipelines
Experience designing and developing data warehouses and data architectures
Strong data modelling experience with complex datasets
Experience using Azure DevOps and CI/CD/build and release processes
Strong data analysis and problem-solving skills
Experience with data visualization and reporting
Experience working within Agile delivery teams
Understanding of data governance and GDPR
Strong stakeholder communication and collaboration skills
Microsoft certification in Data Analysis, Data Engineering or equivalent
Primary degree in a relevant Technology/IT discipline, NFQ Level 7 or equivalent
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