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  3. Data Engineer – Hybrid – London – Up to £70,000

Data Engineer – Hybrid – London – Up to £70,000

Pearson Carter
4h 13m ago
Hybrid
Full Time
IC
United Kingdom
£60k - £70k GBP/yr≈ $79.8k - $93.1k USD/yr
## Data Engineer Hybrid London Up to 70,000 Pearson Carter are working with an established London-based organisation looking to strengthen its data team with the addition of a Data Engineer. This is an opportunity to get involved in a variety of data initiatives, helping build and maintain data pipelines, improve data quality and support integrations across business systems. You'll work alongside technical teams and wider stakeholders, playing an important role in developing reliable and efficient data solutions. ## Key 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. ## What We're Looking For - 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. **Salary:** Up to 70,000 **Location:** London Hybrid Working Interested? Send your CV to **** or call ****. Pearson Carter specialises in Microsoft Technology, Software Development, Web and Mobile recruitment across the UK and internationally.

Required Skills

mssqltsqlazuressis

Required Languages

🇬🇧 English

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4h 13m ago

Data Engineer – Hybrid – London – Up to £70,000

Pearson Carter
£60k - £70k GBP/yr≈ $79.8k - $93.1k USD/yr
mssqltsqlazuressis
Hybrid
|United Kingdom
General Data Engineering
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