Nigel Frank International

Senior Data Engineer

Job description

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) by January 30th to be considered for this opportunity.


#MSBI #DateEngineer #BusinessIntelligence #JHB #Johannesburg #SouthAfrica #Azure

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