Data Engineer

SmartRecruiters, Inc.; Leinster; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Quarterly profit share

Career progression & mentorship

Flexible/remote working

Pension & private healthcare

Wellbeing benefits

Educational assistance and accredit.

Educational support

Job summary

Version 1 is seeking an experienced Data Specialist to support delivery, enhancement and development of enterprise data and analytics solutions in Ireland. You will work with project teams, business units and technical teams to transform data, develop reporting and analytics, and support strategic data initiatives.

This role requires strong hands-on experience with Azure data ecosystem (Azure Data Factory, Synapse) plus SQL, data engineering, and data modelling capabilities.

Qualifications

• 4–6 years' experience in a Data Specialist/Data Engineering related role.
• At least 2 years in a lead capacity.
• Hands-on with Azure Data Factory and Azure Synapse.
• Experience with Power BI or equivalent BI tools.
• Advanced SQL and database experience.
• Python for data manipulation and analysis.
• Strong ETL/ELT, data pipelines and data warehouse design.
• Data modelling with complex datasets and governance awareness.
• Experience with Azure DevOps and CI/CD processes.
• Strong data analysis, problem-solving and collaboration skills.
• Experience in Agile delivery teams and GDPR awareness.

Responsibilities

• Design, develop and maintain scalable data pipelines and data models.
• Build and support ETL/ELT processes across source systems.
• Develop solutions using Azure Data Factory, Synapse and Power BI.
• Analyse complex datasets to identify trends and insights.
• Create dashboards and analytics to support decision-making.
• Design complex data models and datasets for reporting needs.
• Use Python and SQL for data manipulation and analysis.
• Support and optimise data solutions as they scale.
• Collaborate in an Agile delivery environment and with stakeholders.
• Apply data governance and GDPR best practices.

Skills

Data analysis

Data modelling

SQL

ETL/ELT processes

Stakeholder communication

Agile delivery

Problem solving

Data visualisation

Education

Bachelor's degree in IT/Tech

NFQ Level 7 or equivalent

Tools

Azure Data Factory

Azure Synapse

Power BI

Python

SQL databases

Azure DevOps

Job description

• Department: Public Sector & Utilities (Ireland)

Company Description

Version 1 has celebrated30 yearsinbusinessand continues to be trusted by global brands to delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’rean award-winning employer reflecting how our employees are at the very heartof whatwe do:

• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW

We’rea corevalues drivencompany, we hire people who share our values, and we reward those who display and foster them,it’sdeeply embedded within our DNA. Invest in us andwe’llinvest in you!.

Job Description

We are seeking an experienced Data Specialist to support the delivery, enhancement and ongoing development of enterprise data and analytics solutions.

The successful candidate will work closely with project teams, business units, technical teams and other stakeholders to analyse and transform data, develop reporting and analytics solutions, and support strategic data initiatives.

This role requires strong hands-on experience across the Microsoft Azure data ecosystem, particularly Azure Data Factory, Azure Synapse and Power BI, together with strong SQL, data engineering and data modelling capabilities.

Key Responsibilities

• Design, develop and maintain scalable data pipelines, data models and data warehouse solutions.
• Build and support ETL/ELT processes that integrate data from multiple source systems.
• Develop and maintain solutions using Azure Data Factory, Azure Synapse and Power BI.
• Analyse complex datasets to identify trends, anomalies and actionable insights.
• Develop dashboards, reports and analytics solutions to support business and operational decision-making.
• Design and optimise complex data models and datasets.
• Use Python and SQL for data manipulation, transformation and analysis.
• Support and enhance existing data solutions as they scale.
• Optimise code, queries, pipelines and processes for performance and reliability.
• Perform root cause analysis on data quality and data processing issues.
• Identify opportunities to reuse and improve existing data flows and solutions.
• Use Azure DevOps, including Boards, Repos, Pipelines and Test Plans, to support development and delivery.
• Design and implement appropriate build, release, deployment and configuration processes.
• Apply data standards, governance and best practices, including GDPR requirements.
• Work collaboratively within an Agile delivery environment.

Qualifications

Candidates should demonstrate:

• 4–6 years' experience in a similar Data Specialist, Data Engineering or closely related role.
• At least 2 years' experience operating 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.
• Strong understanding of ETL/ELT processes and data pipelines.
• Experience designing and developing data warehouses and data architectures.
• Strong data modelling experience, including working with complex datasets.
• Experience using Azure DevOps and CI/CD/build and release processes.
• Strong data analysis and problem-solving skills.
• Experience with data visualisation and reporting.
• Experience working within Agile delivery teams.
• Understanding of data governance, standards and GDPR.
• Strong stakeholder communication and collaboration skills.

Qualifications

• Microsoft certification in Data Analysis, Data Engineering or equivalent.
• Primary degree in a relevant Technology/IT discipline, NFQ Level 7 or equivalent.
• Native-level English or CEFR C2 Proficiency/equivalent. Fluent English speakers without formal certification may also be considered subject to assessment.

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectivelybenefitfrom a share of our company's profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiativesincluding;Pension, Private Healthcare Cover, Life Assurance, Financialadviceand an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educationalassistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits drop us a note to find out more.

Version1 is an equal opportunities employer.

We are committed to building a diverse,inclusiveand respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter [e-mail] at Version 1. We will consider all requests carefully,respectfullyand confidentially.