Hybrid Data Engineer – ETL, SQL & Azure (London)

Pearson Carter

Greater London

Hybrid

GBP 63,000 - 77,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Pearson Carter are working with a London-based organisation to strengthen its data team by hiring a Data Engineer for a hybrid role in London. The role focuses on designing and maintaining data pipelines, improving data quality and enabling robust integrations across business systems.

You will collaborate with technical teams and stakeholders to deliver reliable data solutions, leveraging SQL Server, ETL tooling and cloud data services.

Qualifications

  • Experience in Data Engineering, ETL or Data Migration.
  • Strong SQL Server and T-SQL skills.
  • Experience with Azure Data Factory and/or SSIS.
  • Good understanding of data pipelines, transformation and data validation.
  • Experience integrating data across enterprise business systems.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Design, develop and maintain ETL processes and data pipelines.
  • Extract, transform and validate data from multiple sources.
  • Work with SQL Server to build and maintain data solutions.
  • Support data migrations and integrations between different platforms.
  • Identify and resolve data quality issues, including cleansing and reconciliation.
  • Develop data mapping and transformation processes.
  • Work with stakeholders to understand requirements and deliver effective data solutions.

Skills

Data engineering
ETL
SQL Server
T-SQL
Azure Data Factory
SSIS
Data pipelines
Data validation
Data migration
Stakeholder collaboration

Job description

Pearson Carter are working with a London-based organisation to strengthen its data team by hiring a Data Engineer for a hybrid role in London. The role focuses on designing and maintaining data pipelines, improving data quality and enabling robust integrations across business systems.

You will collaborate with technical teams and stakeholders to deliver reliable data solutions, leveraging SQL Server, ETL tooling and cloud data services.

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