Senior Data Engineer — Remote Azure Databricks Platform Lead

Nasstar

Greater London

Teletrabalho

GBP 60 000 - 80 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Competitive salary and compensation package
Access to AWS & Databricks certifications
Remote work with team socials

Resumo da oferta

A leading technology company is seeking a Senior Data Engineer to design and implement a cloud-based data platform. The role requires expertise in Azure data tools and a strong understanding of data modeling and ETL processes. The position is fully remote and offers a competitive salary along with opportunities for professional certification and training. Join a motivated team dedicated to data-driven solutions and innovation.

Qualificações

  • Proven experience as a Data Engineer, particularly with Azure data services.
  • Strong understanding of data modeling concepts and experience with both relational and non-relational databases.
  • Familiarity with big data technologies and frameworks is a plus.

Responsabilidades

  • Design, develop, and implement data pipelines and ETL processes.
  • Collaborate with technical teams to ensure integration within cloud infrastructure.
  • Implement data governance and security controls for compliance.

Conhecimentos

Azure data tools
Data Engineering
SQL
Data modeling
ETL tools
Data warehousing concepts
Problem-solving
Agile methodologies

Ferramentas

Azure Data Factory
Azure Databricks
Azure Synapse Analytics

Descrição da oferta de emprego

A leading technology company is seeking a Senior Data Engineer to design and implement a cloud-based data platform. The role requires expertise in Azure data tools and a strong understanding of data modeling and ETL processes. The position is fully remote and offers a competitive salary along with opportunities for professional certification and training. Join a motivated team dedicated to data-driven solutions and innovation.
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