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Day 6
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Dublin, County Dublin, Ireland
Actively hiring, first seen by us 6 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build scalable ETL/ELT and AI pipelines using Databricks, PySpark, Delta Lake and SQL
Create and maintain RAG pipelines and AI agent frameworks
Develop and deploy production-grade Generative AI and agent-based solutions
Support MLOps model training and inference pipelines using MLflow
Mentor and support engineering teams in AI technologies and capabilities
Design and build scalable ETL/ELT and AI pipelines using Databricks, PySpark, Delta Lake and SQL.
Create and maintain RAG pipelines and AI agent frameworks.
Develop and deploy production-grade Generative AI and agent-based solutions.
Support MLOps activities, including model training and inference pipelines using MLflow.
Mentor and support engineering teams in AI technologies and capabilities.
Strong experience as a Data Engineer, AI Engineer, Machine Learning Engineer, or similar role.
Experience with Apache Spark and distributed data processing.
Experience implementing event-driven integrations using:- Azure Service Bus (essential)
Experience with PyTorch and/or TensorFlow.
Hands-on experience building and deploying production-grade:- Multi-agent AI workflows
Experience implementing Generative AI solutions within Databricks Workflows and Jobs.
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Data pipeline solutions within Databricks - Strong programming skills in Python and SQL. - Experience with Apache Spark and distributed data processing.
- MLflow - Python - SQL
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.
- Python - SQL - Apache Spark
- 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.
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:
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
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.
- 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.
- 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.
- MLflow - Experience implementing event-driven integrations using:- Azure Service Bus (essential) - Azure Functions (essential)
- Experience implementing event-driven integrations using:- Azure Service Bus (essential) - Azure Functions (essential) - Azure Databricks (essential)
- Azure Functions (essential) - Azure Databricks (essential) - Understanding of data modelling and Medallion/Lakehouse architecture.
- Apache Spark - Azure Databricks - Azure Service Bus
- Azure Databricks - Azure Service Bus - Azure Functions
- Azure Service Bus - Azure Functions - Azure Data Factory
- Azure Functions - Azure Data Factory - Azure Data Lake Storage Gen2
- Azure Data Factory - Azure Data Lake Storage Gen2 - Azure Key Vault
- Azure Data Lake Storage Gen2 - Azure Key Vault - Azure DevOps
- Azure Key Vault - Azure DevOps - Git
- 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.
- 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.
- 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
Technology Stack - Databricks - PySpark
- Strong knowledge of Databricks Lakehouse architecture. - Hands-on experience with:- Delta Lake - Unity Catalog
- PySpark - Delta Lake - Unity Catalog
- 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.
- Databricks Workflows - MLflow - Experience implementing event-driven integrations using:- Azure Service Bus (essential)
- Unity Catalog - MLflow - Python
- 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.
- SQL - Apache Spark - Azure Databricks
- Databricks - PySpark - Delta Lake
Desirable Skills - Experience with PyTorch and/or TensorFlow. - Experience with Event Hub and Logic Apps.
- Git - PyTorch / TensorFlow What We're Looking For
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Essential Skills & Experience
Desirable Skills
Technology Stack
What We're Looking For
We are looking for an engineer who can bridge the gap between modern data engineering and AI innovation. You should be comfortable delivering production-ready solutions, collaborating across teams, and enabling organisations to scale their AI capabilities through robust engineering practices.
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.
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 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 ekta.bahl@version1.com at Version 1. We will consider all requests carefully, respectfully and confidentially.
Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo
#LI-EB1 #LI-Hybrid
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:
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!.
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Dublin, County Dublin, Ireland
- 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
Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo #LI-EB1 #LI-Hybrid Company Description
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