Position: Data Engineer - Azure
Location: Remote
Type: 6 Month Contract (Outside IR35)
Rate: £550 to £600 Per Day
Role:
This is a fantastic opportunity to work for a leading Consultancy, my client is currently looking for an experienced Data Engineer to act as client engineer, and architecture lead for various programmes of work.
Data Architect is a multi-disciplinary role, requiring collaboration with a wide range of stakeholders, from developers to C-level executives. You will be responsible for working with customers to influence and shape the end-to-end data management and analytics workstreams, within fast paced and complex programmes, engaging in a wide variety of data management and analytics activities.
Key Responsibilities:
* Support and influence Data Strategy, and Data Governance Policies and Principles
* Promote Data Management standards and best practices
* Support business and data requirements gathering
* Input and guidance to business for Data Catalog, Master Data and Metadata Management
* Lead the data solution designs and execution of data models for these solutions such as Data Warehouse, Data Lake, and Data Lakehouse
* Work with Data Engineers and Analysts to architect scalable and secure solutions across Data Integration, Data Orchestration, Data Processing, Data Storage, and Data Visualisation
* Work with cross-functional teams to support delivery of the data solutions
* Engage with customer and end-users to understand solution impact and develop technology operation plans
* Work with customers or partners to promote the company brand and develop healthy relationships
* Coach and mentor upcoming Data Architects
Requirements:
* Demonstrable experience in Data Architecture in the last 3 years
* Experience in architecting data solutions which meet high data security and compliance requirements
* Experience working with various open-source, on-prem, COTS, and cloud (AWS, Azure, GCP) tools and technologies
* Advanced Data Modelling skills and experience in relational, dimensional and NoSQL databases
* Demonstrable experience in advanced SQL/TSQL
* Knowledge and experience working with a variety of frameworks and platforms for data management and analytics
* Data Engineering experience, and familiarity with Git, Python and R
* Data Analysis, Data Profiling and Data Visualisation experience
* Knowledge and desired experience of Big Data
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