Data Engineer

Posted 16 April by Nigel Wright Group
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The Company
Nigel Wright is delighted to be working with TT2, the operator of the iconic Tyne Tunnels, in their search for a Data Engineer. The role will be based at their offices in Wallsend.

The Role
This is an exciting opportunity to work for an established business that have high reliance on data. You will help drive business decisions and support the organisation as it tries to become more data driven. Working within a small data team you will also help to take ownership of data quality, the manipulation of data and be responsible for the creation and critical analysis of key reports and real time data performance. Other key responsibilities include: 
  • Working closely with department managers, you will be responsible for designing and building data integrations and integrating new sources of data into the data warehouse
  • Ensure the integrity of TT2's data generation systems, and to advise and support managers in delivery of services in line with business objectives
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimise statistical efficiency and quality 
  • Support the development of the business strategy, delivery of KPIs and assist in the production of key business drivers 

The Requirements
This is a varied role where you will have a great opportunity to help shape TT2's data strategy and support their continuing vision to be cloud first. Key technical requirements include: 
  • Hands on cloud technology experience is essential (Azure, AWS or GCP ideally) 
  • Comfortable working with structured and unstructured data, relational databases and data transformation projects 
  • Experience in designing and developing ETL/ELT, BI and MI processes using a cloud platform 
  • Previously worked with large volumes of data from multiple sources 
  • Exposure to a range of tools such as Pyramid Analytics, Power BI and similar, covering - Power Query, Data Modelling, Data Manipulation, Data Integration and Data Visualisation 


Reference: 52484113

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