Databricks SME

The Role  We are looking for a Databricks Platform SME to join Version 1’s Data & AI Practice, with strong Databricks expertise and the ability to take primary ownership of our Databricks platform. You will be responsible for Databricks administration, governance, entitlements, performance optimisation, and overall operational management, while contributing to 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 platform 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   Taking primary ownership of the Databricks platform, including administration, governance, entitlements, optimisation, and operational management  Managing Databricks workspaces, users, groups, access controls, platform configuration, performance, reliability, and cost efficiency  Building and maintaining cloud‑native data solutions on AWS   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  Designing, building, and operating batch and streaming data pipelines   Developing high‑throughput, low‑latency data processing systems   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     What You’ll Bring  8+ years’ experience in hands‑on data platform engineering roles  Strong Databricks expertise, including platform administration, entitlements/access management, governance, performance optimisation, and operational management  Hands-on experience managing Databricks workspaces, clusters, jobs, notebooks, and production Spark workloads  Demonstrated ability to manage and optimize Databricks platform operations at scale  At least 2 Databricks platform implementations from design to production in the last 4 years.  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   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  Databricks Professional Certification  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  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!.  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-Ou