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VanRath

Azure Data Engineer - Contract

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Summary

A 6-month (extendable) contract Data Engineer role placed by recruiter VanRath with a technology consultancy delivering cloud data solutions. The person designs and builds ETL/ELT pipelines and cloud data platforms using Snowflake, Databricks, and Azure services (Data Factory, Data Lake), working client-facing with SQL and Python/PySpark skills.

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

Skills

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See also

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