Azure Data Engineer - Contract

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.

About you:

• 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

What you'll do:

• 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

For further information on this job, apply via the link or contact the VANRATH office for a confidential chat today.

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Skills:
azure snowflake databricks data engineer

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