Data Engineer - Azure

Posted 18 days 7 hours ago by TieTalent

Permanent
Not Specified
Other
London, United Kingdom
Job Description

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:
  1. Support and influence Data Strategy, and Data Governance Policies and Principles.
  2. Promote Data Management standards and best practices.
  3. Support business and data requirements gathering.
  4. Provide input and guidance to business for Data Catalog, Master Data, and Metadata Management.
  5. Lead the data solution designs and execution of data models for solutions such as Data Warehouse, Data Lake, and Data Lakehouse.
  6. Work with Data Engineers and Analysts to architect scalable and secure solutions across Data Integration, Data Orchestration, Data Processing, Data Storage, and Data Visualisation.
  7. Work with cross-functional teams to support delivery of the data solutions.
  8. Engage with customers and end-users to understand solution impact and develop technology operation plans.
  9. Work with customers or partners to promote the company brand and develop healthy relationships.
  10. Coach and mentor upcoming Data Architects.
Requirements:
  1. Demonstrable experience in Data Architecture in the last 3 years.
  2. Experience in architecting data solutions that meet high data security and compliance requirements.
  3. Experience working with various open-source, on-prem, COTS, and cloud (AWS, Azure, GCP) tools and technologies.
  4. Advanced Data Modelling skills and experience in relational, dimensional, and NoSQL databases.
  5. Demonstrable experience in advanced SQL/TSQL.
  6. Knowledge and experience working with a variety of frameworks and platforms for data management and analytics.
  7. Data Engineering experience, and familiarity with Git, Python, and R.
  8. Data Analysis, Data Profiling, and Data Visualisation experience.
  9. Knowledge and desired experience of Big Data.