Data Engineer (AI Ready)

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 RoleAs 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 For4+ 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 HaveExperience 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 salaryAnnual performance bonus (up to 20-25%)Hybrid working modelDedicated annual learning & development budget (€3,000)Pension schemeHome office allowance27 days annual leave plus additional company shutdown periodFree lunchesInternational team events and company gatheringsLong-term career progression within a growing data functionIf you're passionate about modern data engineering, Snowflake, Python, and helping organisations unlock value from their data, I'd love to hear from you.Venquis is acting as an Employment Agency in relation to this vacancy.