Senior Azure Data Engineer: Migrations & Pipelines

Senior Azure Data Engineer: Migrations & Pipelines

Full-Time 50000 - 50000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deliver robust data migration solutions using Azure technologies.
  • Company: Join Stott and May, a forward-thinking tech company in Coventry.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Be part of a team that values innovation and technical excellence.
  • Why this job: Make an impact by building scalable data pipelines in a dynamic environment.
  • Qualifications: Experience with Azure Data Factory, PySpark, SQL, and strong collaboration skills.

The predicted salary is between 50000 - 50000 Β£ per year.

Stott and May is seeking an experienced Senior Azure Data Engineer to join their team in Coventry, UK. This hybrid role involves designing and delivering robust data migration solutions within the Microsoft Azure ecosystem, with a focus on enterprise-grade data pipelines and transformation processes.

The successful candidate will utilize Azure Data Factory, PySpark, and SQL to build scalable ETL/ELT pipelines. Strong technical collaboration with stakeholders is essential.

Senior Azure Data Engineer: Migrations & Pipelines employer: Stott & May

Stott and May is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Azure Data Engineers to thrive. With a strong emphasis on employee growth, the company offers numerous opportunities for professional development and skill enhancement in the rapidly evolving field of data engineering. Located in Coventry, employees benefit from a vibrant community and a hybrid working model that promotes work-life balance while engaging in meaningful projects within the Microsoft Azure ecosystem.

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Contact Details:

Stott & May Recruitment Team

We think you need these skills to ace Senior Azure Data Engineer: Migrations & Pipelines

Azure Data Factory
PySpark
SQL
Data Migration Solutions
ETL/ELT Pipelines
Data Transformation Processes
Technical Collaboration