Data Engineer

Version 1; Dublin; A distancia; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Profit-sharing program

Career progression & mentorship

Flexible/remote working

Pension and private healthcare

Wellbeing initiatives and gym/member福利

Descripción de la vacante

Version 1 seeks an experienced Data Specialist to support the delivery, enhancement and ongoing development of enterprise data and analytics solutions.

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

Formación

• 4–6 years' experience in a data specialist or data engineering role.
• At least 2 years in a lead capacity.
• Strong hands-on experience with Azure Data Factory.
• Experience with Azure Synapse and Power BI.
• Knowledge of GDPR, data governance and data quality.

Responsabilidades

• Design, develop and maintain scalable data pipelines, models and data warehouse solutions.
• Build and support ETL/ELT processes from multiple source systems.
• Develop dashboards and analytics using Azure Data Factory, Synapse and Power BI.
• Analyse complex datasets to identify trends and actionable insights.
• Collaborate with project teams in an Agile environment and ensure data governance.

Conocimientos

stakeholder communication

data analysis

problem solving

Agile delivery

Educación

Primary degree in Technology/IT

NFQ Level 7 or equivalent

Microsoft certification in Data Analysis / Data Engineering

Herramientas

Azure Data Factory

Azure Synapse

Power BI

Python

SQL

PySpark

Azure DevOps

Descripción del empleo

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

• UK & Ireland's premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 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’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest 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 and PySpark 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.

Key Technology Stack

Azure Data Factory | Azure Synapse | Power BI | Python | SQL | ETL/ELT | Data Warehousing | Data Modelling | Azure DevOps | Microsoft BI Stack | Agile

Additional Information

Why Version 1?

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from 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 initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and 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
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & Star Awards
• 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…

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and 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, respectfully and confidentially.

Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo