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 DescriptionThe Role
We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.
This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.
What You’ll Be Doing
Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms
Designing, building, and operating batch and streaming data pipelines
Developing high‑throughput, low‑latency data processing systems
Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads
Building and maintaining cloud‑native data solutions on AWS
Using dbt for data transformation, modelling, testing, and documentation
Orchestrating data workflows using Airflow or similar orchestration tools
Writing clean, efficient, and well‑tested code following software engineering best practices
Collaborating closely with product, analytics, and platform teams
Supporting production systems by troubleshooting issues and implementing continuous improvements
Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
Optimising data performance, reliability, and data quality in live environments
What You’ll Bring
5+ years’ experience in hands‑on data engineering roles
We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, Databricks governance/access management, real-time processing, and data security.
We were looking for more practical experience in designing solutions, explaining technical decisions and trade-offs, and solving complex data engineering problems.
Candidates who have influenced design and technical decisions with trade offs and rationale.
Clear, hands-on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.
Enterprise-scale environments, large data volumes (between 10s to 100s TBs ),
Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).
Strong hands‑on coding skills in Python, Java, or similar languages, with strong SQL capability
Proven experience building and operating batch and streaming pipelines in production
Experience with AWS, Databricks / Spark, and modern data architectures
Hands‑on experience using dbt for transformations and Airflow (or equivalent) for orchestration
Solid understanding of data modelling, data quality, and production data systems
Experience working with relational databases such as Postgres or SQL Server
Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling
Nice to Have
Experience enabling ML, AI, or GenAI workloads through strong data foundations
Exposure to modern BI and analytics tooling
Experience working in regulated or security‑conscious environments
Consulting or client‑facing delivery experience
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 & ‘Call-Out’ platform.
- 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.
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.
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 [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially.
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
Skills Required
- 5+ years of hands-on experience in data engineering roles
- Strong technical depth building production-grade data pipelines
- Experience with data quality and validation
- Experience with Databricks governance and access management
- Experience with real-time data processing and production batch and streaming pipelines
- Experience with data security, governance, testing, deployment, and production support across the full solution lifecycle
- Experience working in enterprise-scale environments with data volumes ranging from tens to hundreds of terabytes
- Strong hands-on coding skills in Python, Java, or similar languages
- Strong SQL capability
- Experience with AWS, Databricks, Apache Spark, and modern data architectures
- Hands-on experience using dbt for transformations and Airflow or equivalent for orchestration
- Understanding of data modelling, data quality, and production data systems
- Experience with relational databases such as PostgreSQL or SQL Server
- Familiarity with CI/CD pipelines, testing frameworks, and monitoring or observability tooling
- Experience enabling ML, AI, or GenAI workloads through data foundations
- Exposure to modern business intelligence and analytics tooling
- Experience working in regulated or security-conscious environments
- Consulting or client-facing delivery experience
What We Do
Version 1 proves that IT can make a real difference to our customers' businesses. We are trusted by global brands to deliver IT services and solutions which drive customer success. Our 3000+ strong team works closely with our technology partners to provide independent advice that helps our customers navigate the rapidly changing world of IT. Our greatest strength is balance in our efforts to achieve Customer Success, Empowered People and a Strong Organisation, underpinned by the commitment to our values. We believe this is what makes Version 1 different and more importantly, our customers agree.







