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Senior Data Engineer
3 months ago
This globally recognised organisation is an industry leader, founded on over a century of history. With over 8000 staff globally, they are well on their way to transforming the business into a leading Digital and Data led organisation by 2025.
A large part of this is building upon and enhancing their newly created Global Azure Data Platform, for which this role will play a lead part in delivering.
Working within the group's core Data & Analytics function, this position will hold the following responsibilities:
- Delivering technical functionality developed against the Global Azure Data Platform.
- Creating and maintain optimal data pipeline architecture in Azure.
- Drive best practice development and design, working with the wider team to implement solutions that deliver quality, usable insights to multiple business users and functions.
- Assembling large, complex data sets that meet functional / non-functional business requirements.
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure 'big data' technologies.
- Working with stakeholders including the Executive, Product and Data teams to assist with data-related technical issues and support their data infrastructure needs.
- Keeping internal data separated and secure across national boundaries through well architected sensitive data patterns and later enhancements to include regions in Azure.
- Creating data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
- Working with data and analytics experts to strive for greater functionality in data systems.
Key skills and experience required:
- Extensive commercial experience as a Senior data engineer experience leading Digital Data transformation programmes, including experience in Azure cloud development.
- Expert experience with Azure Data Factory, Azure Databricks specifically
- Experience with other Microsoft cloud services including Azure Logic Apps, Azure Functions, Azure Storage, Azure Data Lake, Synapse.
- Involvement in or delivery of a successful multi regional digital data initiative.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimising 'big data' data pipelines, architectures and data sets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Familiarity with data modelling architectures (Kimball/Inmon) and its implementation
- Familiarity with metadata driven (contract) frameworks on cloud
- Experience with version and source control (Git) and Azure DevOps
- Experience in APIs and API Management
