Azure Data Engineer
Remote / Online - Candidates ideally in
Belfast City District, Belfast, County Antrim, BT1, Northern Ireland, UK
Listed on 2026-10-05
Belfast City District, Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for:
VanRath
Contract, Remote/Work from Home
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
VANRATH has partnered with a leading technology consultancy renowned for delivering innovative cloud-based solutions across major enterprise clients. This is an exciting opportunity for experienced Data Engineers to work on cutting-edge projects within a dynamic, forward-thinking environment.
Salary/ Benefits:- Competitive daily rate (negotiable)
- Initial 6-month contract with potential for extension
- Hybrid/remote working arrangements
About your next employer:
This global consultancy operates at the forefront of technology, specialising in data transformation and cloud services. With a team of dedicated experts, they work with industry-leading organisations, implementing innovative solutions using advanced platforms like Snowflake, Databricks, and Microsoft Azure. They pride themselves on a collaborative culture, fostering growth within a diverse and talented team.
- Strong commercial experience as a Senior Data Engineer or Data Consultant
- Hands-on expertise in Snowflake and Databricks
- Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake
- Advanced SQL and Python or PySpark skills
- Experience building enterprise-level ETL/ELT pipelines
- Knowledge of data modelling, governance, and data quality
- Previous consultancy or client-facing delivery experience
- Excellent communication and stakeholder-management skills
- Design and develop scalable data pipelines and cloud data platforms
- Build solutions using Snowflake, Databricks, and Azure Data Services
- Develop robust ETL/ELT workflows for complex datasets
- Optimize data models, platform performance, and processing costs
- Support data migration, integration, and transformation programmes
- Provide technical guidance and promote data engineering best practices
- Work directly with clients to understand requirements and deliver tailored solutions
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