Version 1
Data Engineer
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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.
We’re an award-winning employer reflecting how our employees are at the very heart of what we do:
- 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.
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.
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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.
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?
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 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… drop us a note to find out more.
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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 at Version 1. We will consider all requests carefully, respectfully, and confidentially.
Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo
Department: Digital, Data, and Cloud
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