Remote Data Engineer: Azure Data Platform & Big Data

AtkinsRéalis UK Limited

West of England

Hybrid

GBP 70,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Flexible working policies
Hybrid work culture
Training & development opportunities

Job summary

AtkinsRéalis UK Limited is seeking an experienced Data Engineer to design, build, and operate modern data pipelines in Azure. You will contribute across the data lifecycle, delivering scalable solutions for diverse client projects with a balance of on-site and hybrid working arrangements.

Ideal candidates have hands-on experience with Azure data services, strong SQL and Python/PySpark skills, and a passion for engineering best practices, governance, and performance tuning.

Qualifications

  • Bachelor’s degree in computer science, information technology, data engineering, or related field.
  • Hands-on experience in data engineering, database development, or data integration.
  • Experience with Microsoft Azure data services.

Responsibilities

  • Own data lifecycle development, delivery, and support of cutting-edge solutions.
  • Collaborate across teams to deploy data pipelines and analytics at scale.
  • On-site involvement at client sites as required.

Skills

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL Database
Microsoft Fabric
SQL performance tuning
Python/PySpark/Scala
Dimensional modelling
CI/CD with Azure DevOps/GitHub
Cloud architecture

Education

Bachelor’s degree in Computer Science/IT/Data Engineering

Tools

Azure DevOps
GitHub
Microsoft Fabric

Job description

AtkinsRéalis UK Limited is seeking an experienced Data Engineer to design, build, and operate modern data pipelines in Azure. You will contribute across the data lifecycle, delivering scalable solutions for diverse client projects with a balance of on-site and hybrid working arrangements.

Ideal candidates have hands-on experience with Azure data services, strong SQL and Python/PySpark skills, and a passion for engineering best practices, governance, and performance tuning.

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