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At a glance
- Employment type
- Full-time
- Location
- Dublin, Ireland
- Workplace
- On-site
- Category
- DevOps
What you'll be doing
On-site Data Engineer role in Dublin focused on developing and enhancing enterprise-scale data warehouse environments. Involves end-to-end delivery of data solutions, working with SQL, Azure, SSAS, ETL, and supporting cloud migration and data transformation initiatives.
- Deliver end-to-end data warehouse changes from requirements to deployment
- Develop and maintain SQL databases, stored procedures, tables, and views
- Design, develop, and support ETL/data integration processes
- Develop and maintain SSAS Tabular models and DAX solutions
- Contribute to dimensional modelling, data architecture, and platform enhancements
- Ensure data quality, integrity, auditability, and documentation
- Provide technical advice to business and technical teams
- Contribute to data transformation, cloud migration, and modernisation
Key requirements
Must-have
- 5+ years’ experience in Data Engineering, Data Warehousing, or Business Intelligence
- Strong hands-on SSAS experience, especially SSAS Tabular and DAX
- Excellent SQL Server and SQL development skills
- Strong ETL/data integration, data warehousing, and dimensional modelling experience
- Experience with SSIS, Power BI, and SQL Server Management Studio
- Experience with Git/source control, Azure DevOps, and Visual Studio
- Understanding of data quality, governance, and enterprise data architecture
- Experience delivering data changes through structured development, testing, and release processes
Experience: 5+ years
Role signals
- Technical focus
- Data Engineering, Data Warehousing, ETL, SSAS, SQL
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
Do you want to work on an exciting change and transformation journey?
This is a great opportunity for an experienced Data Engineer looking to work with modern technology, cloud platforms and enterprise-scale data. You'll play a key role in developing and enhancing a data warehouse environment, working closely with technical and business teams to deliver high-quality data solutions.
Key Responsibilities
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Deliver end-to-end data warehouse changes, from requirements and impact analysis through to development, testing and deployment.
-
Develop and maintain SQL databases, stored procedures, tables and views.
-
Design, develop and support ETL/data integration processes, including reconciliation and error handling.
-
Develop and maintain SSAS Tabular models and DAX solutions.
-
Contribute to dimensional modelling, data architecture and data platform enhancements.
-
Ensure data quality, integrity, auditability and appropriate documentation.
-
Provide technical advice to business analysts, data analysts, developers and project teams.
-
Contribute to data transformation, cloud migration and modernisation initiatives.
-
Work collaboratively across multiple projects and priorities, supporting effective change and release management.
What We’re Looking For
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5+ years’ experience in Data Engineering, Data Warehousing or Business Intelligence.
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Strong hands-on SSAS experience is essential, particularly SSAS Tabular and DAX.
-
Excellent SQL Server and SQL development skills.
-
Strong experience with ETL/data integration, data warehousing and dimensional modelling.
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Experience with SSIS, Power BI and SQL Server Management Studio (SSMS).
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Experience with Git/source control, Azure DevOps and Visual Studio.
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Understanding of data quality, governance and enterprise data architecture.
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Experience delivering data changes through structured development, testing and release processes.
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Strong stakeholder management and communication skills.
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Ability to manage multiple priorities and work effectively across technical and business teams.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will be assessed on your ability to deliver end-to-end data warehouse solutions using SQL Server, SSAS Tabular, DAX, and Azure DevOps. Expect focus on ETL/data integration, dimensional modelling, and collaborating with both technical and business teams to drive data transformation and cloud migration initiatives.
- SSAS Tabular & DAX·High
- SQL Server development·High
- ETL/data integration·High
- Azure DevOps & source control·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review SSAS Tabular, DAX, and SQL Server Experience
0–10 minList your most relevant projects and be ready to discuss technical challenges and outcomes.
Summarise ETL/Data Integration and Dimensional Modelling Skills
10–17 minPrepare concise examples of ETL pipelines and data models you have built or improved.
Refresh Knowledge of Azure DevOps and Source Control
17–24 minRecall how you used Git, Azure DevOps, and Visual Studio in previous roles.
Prepare Stakeholder Collaboration Stories
24–30 minThink of situations where you worked with business and technical teams to deliver data solutions.
Talking points
, 6 itemsSSAS Tabular and DAX
The role requires strong hands-on experience with SSAS Tabular and DAX, which are central to developing and maintaining analytical models.
SQL Server Development
You will be expected to develop and maintain SQL databases, stored procedures, tables, and views, making advanced SQL skills essential.
ETL/Data Integration Processes
Designing, developing, and supporting ETL processes is a core responsibility, including error handling and reconciliation.
Dimensional Modelling & Data Architecture
The position involves contributing to data architecture and dimensional modelling, which underpins effective data warehousing.
Azure DevOps & Source Control
Experience with Azure DevOps, Git, and Visual Studio is required for structured development, testing, and deployment.
Data Quality and Governance
Ensuring data quality, integrity, and auditability is a key part of the role, supporting reliable business intelligence.
What to research
, 4 itemsSSAS Tabular and DAX Expertise
This is a core requirement and will likely be a major focus in technical discussions.
End-to-End Data Warehouse Delivery
You will be expected to manage the full lifecycle from requirements to deployment, so be ready to discuss your process.
ETL/Data Integration and Dimensional Modelling
Strong skills in ETL, data integration, and dimensional modelling are repeatedly emphasised.
Collaboration with Technical and Business Teams
The role stresses working across multiple teams and priorities, so prepare examples of effective collaboration.
Questions to ask
, 6 itemsWhat are the main goals for the data transformation and cloud migration initiatives?
Why ask this? Clarifies the strategic direction and your potential impact.
How is the data engineering team structured and how do they collaborate with business stakeholders?
Why ask this? Reveals team dynamics and cross-functional collaboration.
What tools and processes are used for change and release management?
Why ask this? Helps you understand the technical environment and expectations.
How is data quality and governance managed across projects?
Why ask this? Shows the maturity of data management practices.
What opportunities exist for professional development or learning new technologies?
Why ask this? Indicates support for your growth and skill advancement.
What are the biggest challenges currently facing the data engineering team?
Why ask this? Gives insight into pain points and where you can add value.
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