# Senior AI Data Engineer at Version 1

Version 1 is hiring a Senior AI Data Engineer in Dublin, Ireland. Level rates it Builds AI ●●●●; you can [apply on Version 1](https://jobsbylevel.com/go/7b6d5d85-d5f8-48f7-a22d-c7fea0258f4c?utm_medium=ai-agent).

AI Level 4, AI centrality 89 out of 100. Dublin, County Dublin, Ireland.

## Details

- Company: [Version 1](https://jobsbylevel.com/companies/version-1)
- AI level: AI Level 4 (score 89 out of 100)
- Location: Dublin, County Dublin, Ireland
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/7b6d5d85-d5f8-48f7-a22d-c7fea0258f4c?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-data-engineer-at-version-1-a60bc8

## Prepare for this job

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## 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!. Overview We are seeking an experienced Senior AI Data Engineer to join a high-impact team delivering innovative data and AI solutions within a complex enterprise environment. This role will be responsible for designing and implementing modern data platforms, AI workflows, and Generative AI solutions using Databricks and Azure technologies. The successful candidate will combine strong data engineering expertise with hands-on experience building production-grade AI solutions, including Retrieval Augmented Generation (RAG) pipelines, multi-agent workflows, and MLOps capabilities. Key Responsibilities Design and build scalable ETL/ELT and AI pipelines using Databricks, PySpark, Delta Lake and SQL. Develop and maintain Lakehouse architectures using Bronze, Silver and Gold data layers. Build and optimise Delta Live Tables, Databricks Workflows and job orchestration processes. Develop and deploy production-grade Generative AI and agent-based solutions. Create and maintain RAG pipelines and AI agent frameworks. Support MLOps activities, including model training and inference pipelines using MLflow. Implement data quality monitoring, governance controls and metadata management through Unity Catalog. Develop event-driven integrations using Azure cloud services. Collaborate with cross-functional teams to create feature stores and AI training datasets. Integrate Databricks with wider Azure services including ADLS Gen2, Azure Data Factory, Azure Key Vault and Azure DevOps. Contribute to the development of data engineering best practices and centre of excellence initiatives. Mentor and support engineering teams in AI technologies and capabilities. Essential Skills & Experience Strong experience as a Data Engineer, AI Engineer, Machine Learning Engineer, or similar role. Hands-on experience building and deploying production-grade: Multi-agent AI workflows Retrieval Augmented Generation (RAG) solutions AI agent frameworks Data pipeline solutions within Databricks Strong programming skills in Python and SQL. Experience with Apache Spark and distributed data processing. Experience implementing Generative AI solutions within Databricks Workflows and Jobs. Strong knowledge of Databricks Lakehouse architecture. Hands-on experience with: Delta Lake Unity Catalog Databricks Workflows MLflow Experience implementing event-driven integrations using: Azure Service Bus (essential) Azure Functions (essential) Azure Databricks (essential) Understanding of data modelling and Medallion/Lakehouse architecture. Experience with Git-based version control and CI/CD practices. Strong understanding of AI/ML pipelines, including data preparation, feature engineering and model deployment. Excellent English communication skills. Desirable Skills Experience with PyTorch and/or TensorFlow. Experience with Event Hub and Logic Apps. Experience designing enterprise-scale AI platforms. Experience mentoring engineering teams or leading technical initiatives.

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