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Data Engineer

jobs.jerseyeveningpost.com-job boards

United Kingdom

On-site

GBP 45,000 - 65,000

Full time

Today
Be an early applicant

Job summary

A recruitment agency in the United Kingdom is seeking a Data Engineer to design and deploy enterprise-scale data analytics solutions. The successful candidate will transform data into valuable insights and collaborate with the team on data warehousing concepts. Ideal candidates should have strong SQL proficiency and familiarity with cloud platforms. This role offers a varied and interesting workload in a friendly team environment.

Qualifications

  • Experience or strong interest in data warehousing concepts.
  • Confident SQL proficiency required.
  • Understanding of DataOps or DevOps practices.

Responsibilities

  • Design, create and deploy enterprise-scale data analytics solutions.
  • Transform data into valuable insights to drive business decisions.
  • Collaborate with the data team on data warehousing and cloud platforms.

Skills

Data warehousing concepts
SQL proficiency
Cloud data platforms
DataOps practices
Familiarity with data pipeline orchestration tools
Job description
Overview

Fantastic opportunity for a Data Engineer to take on an exciting new challenge within our client s in-house Data team within Information Services!

Joining a busy and friendly team, the successful candidate will be tasked with a varied and interesting workload where you will contribute to designing, creating and deploying enterprise-scale data analytics solutions, playing an important role in transforming data into valuable insights that drive business decisions.

Responsibilities
  • Design, create and deploy enterprise-scale data analytics solutions.
  • Transform data into valuable insights to drive business decisions.
  • Collaborate with the data team to support data warehousing concepts and cloud data platforms.
  • Apply DataOps or DevOps practices and familiarity with data pipeline orchestration tools.
Qualifications
  • Experience or strong interest in data warehousing concepts with confident SQL proficiency.
  • Experience with cloud data platforms.
  • Understanding of DataOps or DevOps practices.
  • Familiarity with data pipeline orchestration tools.
  • Flexible background welcome (data engineering, software engineering, data analysis, or other technical fields).
How to apply

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