Senior AI Data Engineer
Version 1 is hiring a Senior AI Data Engineer in Dublin, Ireland. Level rates it ; you can apply on Version 1.
Level's read on this job
- On Level's scale, this data engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, TensorFlow and MLflow among its tools and skills.
- Level classes it as a senior role.
- Version 1 has 164 other open roles on Level.
- Posted in the last few days.
AI in this role
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.
- Exposure to financial services or highly regulated environments.
- Experience building advanced LLMOps capabilities including prompt tracking, trace logging and regression benchmarking.
Technology Stack
- Databricks
- PySpark
- Delta Lake
- Unity Catalog
- MLflow
- Python
- SQL
- Apache Spark
- Azure Databricks
- Azure Service Bus
- Azure Functions
- Azure Data Factory
- Azure Data Lake Storage Gen2
- Azure Key Vault
- Azure DevOps
- Git
- PyTorch / TensorFlow
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.
- 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 & Star Awards.
- 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 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
How we rate this
Senior AI Data Engineer at Version 1 rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, ML Ops, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data engineer jobs (Builds AI ●●●●) by email
One email a week with the new data engineer jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step