Azure Data Engineer - Consultancy

Hamilton Barnes Associates Limited; England; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading IT services and consulting firm is seeking an Azure Data Engineer for a 6-month contract. This role involves designing scalable data pipelines, modernizing ETL processes, and collaborating with various teams to ensure data quality. Join a prestigious organization and contribute to their cloud transformation efforts.

Qualifications

• Extensive hands-on experience as a Data Engineer working across both on-prem and cloud data platforms.
• Strong expertise in Azure Data Factory, Snowflake, Databricks, and Python.
• Proficiency in SQL and debugging data workflows across hybrid environments.

Responsibilities

• Design and build robust, scalable data pipelines that serve business-critical applications.
• Modernise and migrate Legacy ETL processes into cloud-native solutions.
• Collaborate with cross-functional teams to deliver production-ready solutions.

Skills

Data Engineering

Azure Data Factory

Snowflake

Databricks

Python

SQL

Data Modelling

Performance Tuning

Collaboration

Communication

Job description

Are you looking for an exciting new opportunity? Join one of the world's leading IT services, consulting, and business solutions organization. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail.

The leading consultancy firm is seeking for a skilled Azure Data Engineer to join on a 6-month contract with strong potential for extension. Want to be part of a team that thrives in excellence? Feel free to reach out and apply today!

Responsibilities:

• Design and build robust, scalable data pipelines that serve business-critical applications and analytics use cases.
• Modernise and migrate Legacy ETL processes into cloud-native solutions using tools such as Azure Data Factory, Snowflake, and Databricks.
• Collaborate with cross-functional teams including data architects, analysts, and platform engineers to deliver production-ready solutions.
• Proactively identify and resolve data quality issues, building in monitoring, testing, and automation where possible.
• Uphold engineering best practices through documentation, peer reviews, and continuous improvement.

Skills/Must have:

• Extensive hands-on experience as a Data Engineer working across both on-prem and cloud data platforms.
• Strong expertise in Azure Data Factory (ADF), Snowflake, Databricks, and Python.
• Proficiency in SQL and debugging data workflows across hybrid environments.
• Deep understanding of data modelling, warehousing concepts, and performance tuning.
• Excellent communication and collaboration skills.

Salary:

• £500 per day