Data Engineer (Azure)

Senior Azure Data Engineer

Exciting opportunity for a Senior Data Engineer to join a well-established Data, Information, and Analytics team as a client-facing, permanently employed consultant.

They're a passionate team who know all about data and implementing technology solutions across a wide range of industries and need a like-minded individual who has the ability to adapt quickly and can lead project teams to achieve business outcomes.

Responsibilities:

• Engage with clients to conceptualise data solutions
• Modernising existing data environment
• Provide technical assistance and guidance to junior and intermediate consultants
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft technologies.
• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

• 5+ years working experience in data engineering
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)
• Building and optimising data pipelines, architecture and data structures
• Performing root cause analysis on internal and external data processes
• Strong analytical skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• History of manipulating, processing and extracting value from large disconnected datasets

Technical requirements:

• Microsoft SQL Server
• SSIS SSAS
• SSRS
• Microsoft Azure
• Data Factory
• Azure SQL
• Cosmos DB
• Azure Machine Learning
• Microsoft Power BI

Next steps:

Send over your updated CV to Stacey Maritz (s . maritz @ nigelfrank .com) to be considered for this opportunity.

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