Azure Data Engineer - Contract
Summary
6-month (extendable) contract for a Senior Azure Data Engineer with a technology consultancy in Dublin, hybrid/remote. Day to day: designing cloud data platforms and enterprise ETL/ELT pipelines and leading client-facing data projects using Azure (Data Factory, Data Lake), Snowflake, Databricks, SQL and Python/PySpark.
A leading technology consultancy is seeking an experienced Azure Data Engineer to deliver innovative, cloud-based data solutions for top-tier enterprise clients. Join a team that leverages the latest tools to transform complex data landscapes, enabling strategic decision-making and operational excellence.
- Initial 6-month contract with potential for extension
- Hybrid/remote working options
- Exposure to cutting-edge data technologies
- Opportunity to work on high-impact enterprise projects
About your next Contract
A major player in the technology consultancy sector, this organisation specialises in providing innovative digital solutions across various industries. Known for their expertise in cloud transformation and data engineering, they work with some of the world's leading organisations, supporting them through complex digital journeys. The team is sizable, collaborative, and driven by a passion for technological excellence, with a focus on delivering value-driven solutions.
About you
- Strong commercial experience as a Senior Data Engineer or Data Consultant
- Hands-on expertise with Snowflake and Databricks
- Extensive experience with Microsoft Azure, including Azure Data Factory and Azure Data Lake
- Advanced SQL and Python or PySpark skills
- Proven ability to build enterprise-level ETL/ELT pipelines
- Knowledge of data modelling, governance, and data quality practices
- Previous consultancy or client-facing delivery experience
- Excellent communication and stakeholder-management skills
What you’ll do
- Design and develop scalable data pipelines and cloud data platforms
- Build and optimise solutions using Snowflake, Databricks, and Azure Data Services
- Develop robust ETL/ELT workflows for complex datasets
- Support data migration, integration, and transformation projects
- Provide technical guidance and promote best practices in data engineering
- Work closely with clients to understand requirements and deliver tailored solutions