Senior Data Engineer

Nigel Wright Group

Posted 2 days ago, valid for 6 days

Newcastle Upon Tyne, Northumberland NE19 2BG, England

£60,000 - £72,000 per annum

Full Time

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Sonic Summary

Nigel Wright Tech is seeking a Senior Data Engineer for a growing data solutions provider.
The role involves collaborating with Data Architects and Insight Analysts to implement data pipelines and develop cloud data warehouse and IoT analytics projects using Azure or AWS.
Candidates should have experience in ETL and data pipeline implementation, as well as familiarity with technologies like Azure Data Factory or AWS Glue.
The position offers fantastic career development opportunities and requires a minimum of 5 years of relevant experience.
The salary for this role is competitive, reflecting the candidate's experience and skills.

The CompanyNigel Wright Tech are delighted to be working with a growing data solutions provider in their search for a Senior Data Engineer. You will have the opportunity to work in a technology agnostic manner and liaise with clients on a regular basis. The RoleCollaborating with Data Architects and Insight Analysts you will help to implement data pipelines across supporting data layers and models. Other key responsibilities include:

Working closely with colleagues on the development of client's cloud data warehouse and IoT analytics projects utilising cloud technologies such as Azure or AWS
Create and maintain detailed solutions documentation
Adhere to source control best practises
Coaching/mentoring junior members of staff
Keep up to date with the latest technologies, methodologies and best practises in all things cloud and data

The RequirementsThis is a tremendous opportunity to work on some great projects with a variety of interesting organisations. Fantastic career development opportunities and culture within the organisation. Key requirements include:

ETL and data pipeline implementation experience, technology agnostic
Experience implementing solutions using at least one of the following technologies: Azure Data Factory, Azure Event Hub, Azure Data Lake storage, Azure Function Apps, AWS Glue, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake
Demonstrable knowledge of data warehouse and data lake principles
Demonstrable data modelling techniques such as Kimball, Inmon or Data Vault methodologies
Exposure to data engineering coding languages such as Python, R or Spark

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