Data Engineer (AI Ready)

We're partnering with an established international organisation undergoing a major cloud and data transformation. As part of this journey, they're migrating data from Azure-based platforms into a modern Snowflake data ecosystem, supported by an AWS Airflow-based orchestration platform.

This is an opportunity to join a small, highly visible data team where you'll play a key role in shaping the future data platform and analytics capabilities of the business.

The Role

Data Engineer (Snowflake, Python, dbt)

We're partnering with an established international organisation undergoing a major cloud and data transformation. As part of this journey, they're migrating data from Azure-based platforms into a modern Snowflake data ecosystem, supported by an AWS Airflow-based orchestration platform.

This is an opportunity to join a small, highly visible data team where you'll play a key role in shaping the future data platform and analytics capabilities of the business.

The Role

As a Data Engineer, you'll be responsible for designing, building, and maintaining scalable data solutions that support reporting, analytics, automation, and emerging AI initiatives.

Key responsibilities include:

• Designing, building, and maintaining reliable data pipelines into Snowflake from a variety of internal and external data sources.
• Developing and improving transformation logic using dbt, with a focus on clean, reusable, and well-documented data models.
• Supporting the creation of trusted datasets for analytics, dashboards, reporting, and AI use cases.
• Building and maintaining data integrations, APIs, and automation workflows using Python and cloud technologies.
• Working closely with business stakeholders to translate requirements into scalable data solutions.
• Driving best practices around data quality, testing, monitoring, documentation, and governance.
• Supporting the development of semantic layers, curated datasets, and reusable business logic.
• Integrating structured, semi-structured, and unstructured data sources, including SaaS platforms, APIs, and document repositories.
• Collaborating with technical and non-technical teams to improve data accessibility, reliability, and usability.
• Contributing to the ongoing evolution of the organisation's data and analytics platform.

What We're Looking For

• 4+ years' experience in Data Engineering, Analytics Engineering, or a related field.
• Strong SQL and data modelling skills.
• Hands-on experience with Snowflake or similar cloud data warehouse technologies.
• Experience using dbt for transformation, testing, deployment, and documentation.
• Good Python skills, ideally including integrations, APIs, and automation workflows.
• Experience working with cloud-based data platforms.
• Strong understanding of data quality, version control, testing, and engineering best practices.
• Ability to engage with business stakeholders and translate requirements into technical solutions.
• Excellent English communication skills.
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, or similar.

Nice to Have

• Experience building semantic layers.
• Familiarity with BI and analytics platforms.
• Experience with modern analytics tooling and self-service reporting environments.
• Exposure to AI-enabled business workflows and data products.

What's on Offer?

• Competitive salary
• Annual performance bonus (up to 20-25%)
• Hybrid working model
• Dedicated annual learning & development budget (€3,000)
• Pension scheme
• Home office allowance
• 27 days annual leave plus additional company shutdown period
• Free lunches
• International team events and company gatherings
• Long-term career progression within a growing data function

If you're passionate about modern data engineering, Snowflake, Python, and helping organisations unlock value from their data, I'd love to hear from you.