• Full Time
  • Remote

Opus Recruitment Solutions

London, United Kingdom

Contract
Competitive Our marketing client is looking for a skilled Azure Data Engineer to join our team on a contract basis. As an Azure Data Engineer, you will work closely with our data scientists and other stakeholders to design, develop, and implement data solutions in Azure cloud environment.

Responsibilities:

Work closely with data scientists, business analysts, and stakeholders to understand data requirements and develop data solutions that meet business needs

Design, develop, and implement data pipelines, data lakes, data warehouses, and data transformation processes in Azure cloud environment

Collaborate with data scientists to build machine learning models and integrate them into production data pipelines

Create and maintain documentation for data solutions, including data pipelines, data models, and data dictionaries

Optimize and tune data solutions for performance, scalability, and reliability

Work with DevOps team to automate deployment, monitoring, and maintenance of data solutions

Stay up-to-date with the latest trends and best practices in Azure cloud technologies, data engineering, and data science

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related field

3+ years of experience in data engineering, with a focus on Azure cloud technologies

Strong proficiency in Azure Data Factory, Azure Databricks, and Azure SQL Database

Proficiency in programming languages such as Python and SQL

Experience with data modeling, data warehousing, and ETL/ELT processes

Familiarity with machine learning and data science concepts

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Microsoft Azure certifications are a plus

Contract

6 Months

Outside IR35

Remote

This is a contract position with a flexible start date and duration. If you are a highly skilled Azure Data Engineer who is passionate about working with cutting-edge technologies and solving complex data problems, we encourage you to apply.

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