Senior Data Engineer – Snowflake/Azure, Hybrid Cloud

VanRath; Belfast City District; Hybrid; GBP 92,000 - 138,000; Full time

Job summary

VanRath has partnered with a leading technology consultancy delivering cloud-based solutions for enterprise clients. This is an exciting opportunity for experienced Data Engineers to design scalable data pipelines and cloud data platforms using Snowflake, Databricks, and Azure Data Services.

You will work on complex ETL/ELT workflows, optimize data models, governance, and data quality, and collaborate directly with clients to deliver tailored solutions.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Advanced SQL

Python or PySpark

Stakeholder management

Consultancy experience

Client-facing delivery

Tools

Snowflake

Databricks

Azure Data Factory

Azure Data Lake

Job description

VanRath has partnered with a leading technology consultancy delivering cloud-based solutions for enterprise clients. This is an exciting opportunity for experienced Data Engineers to design scalable data pipelines and cloud data platforms using Snowflake, Databricks, and Azure Data Services.

You will work on complex ETL/ELT workflows, optimize data models, governance, and data quality, and collaborate directly with clients to deliver tailored solutions.