Senior Data Engineer
Company Description
Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants 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 Version 1 and 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
About the Role
We are looking for a Senior Databricks Data Engineer to join Version 1’s Data Practice, focused on building scalable, high-performance data platforms using Databricks and modern cloud-native technologies.
This is a data engineering role, centred on data pipeline development, distributed processing, and platform delivery, with limited DevOps or ML lifecycle responsibility.
What You’ll Be Doing
Designing, building, and operating batch and streaming data pipelines on Databricks
Developing scalable data transformations using Spark / ELT patterns
Engineering high-throughput data processing systems for large datasets
Working with cloud-native data platforms (AWS preferred)
Implementing data models, schema design, and optimisation techniques
Ensuring data pipelines are reliable, performant, and production-ready
Applying data quality, validation, and monitoring frameworks
Collaborating with analysts, architects, and ML teams to enable downstream use cases
Qualifications
Required Skills & Experience
What You’ll Bring
5+ years’ experience in hands‑on data engineering roles
Strong programming skills in Python (and/or Java) and advanced SQL
Proven experience building and running data pipelines in production
Solid understanding of distributed systems and scalable data architectures
Hands‑on experience with AWS data services and cloud‑native platforms
Experience with Databricks or similar distributed data processing platforms
Familiarity with CI/CD, monitoring, and operational support of data platforms
Solid experience in data modelling and large-scale data system
Nice to Have
Exposure to ML / AI use cases via data platforms
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.
Department: Digital, Data and Cloud
Apply To This Job
Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants 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 Version 1 and 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
About the Role
We are looking for a Senior Databricks Data Engineer to join Version 1’s Data Practice, focused on building scalable, high-performance data platforms using Databricks and modern cloud-native technologies.
This is a data engineering role, centred on data pipeline development, distributed processing, and platform delivery, with limited DevOps or ML lifecycle responsibility.
What You’ll Be Doing
Designing, building, and operating batch and streaming data pipelines on Databricks
Developing scalable data transformations using Spark / ELT patterns
Engineering high-throughput data processing systems for large datasets
Working with cloud-native data platforms (AWS preferred)
Implementing data models, schema design, and optimisation techniques
Ensuring data pipelines are reliable, performant, and production-ready
Applying data quality, validation, and monitoring frameworks
Collaborating with analysts, architects, and ML teams to enable downstream use cases
Qualifications
Required Skills & Experience
What You’ll Bring
5+ years’ experience in hands‑on data engineering roles
Strong programming skills in Python (and/or Java) and advanced SQL
Proven experience building and running data pipelines in production
Solid understanding of distributed systems and scalable data architectures
Hands‑on experience with AWS data services and cloud‑native platforms
Experience with Databricks or similar distributed data processing platforms
Familiarity with CI/CD, monitoring, and operational support of data platforms
Solid experience in data modelling and large-scale data system
Nice to Have
Exposure to ML / AI use cases via data platforms
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.
Department: Digital, Data and Cloud
Apply To This Job