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Jackson Hogg Ltd

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Senior Data Engineer

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Summary

Senior Data Engineer building and maintaining ETL/ELT pipelines and scalable data models on a modern Azure-based cloud data platform (Databricks, Data Factory, Synapse/Fabric), working with data engineers, BI specialists, and stakeholders to deliver reliable datasets for analytics, reporting, and operational decision-making.

Salary: £55,000 - 65,000 per year

Requirements:
  • Strong SQL development skills
  • Experience with Python or a similar programming language
  • Data engineering or data integration experience
  • Understanding of data modelling and ETL/ELT concepts
  • Experience implementing data validation and testing processes
  • Strong communication and stakeholder engagement skills
  • Familiarity with Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric, Azure SQL, or data lake technologies
  • Cloud-based data platform experience
  • Experience within regulated sectors is desirable
Responsibilities:
  • Build and maintain ETL/ELT data pipelines
  • Integrate data from multiple systems and external providers
  • Develop scalable and reliable data models
  • Improve monitoring, testing, and platform performance
  • Support data quality and governance initiatives
  • Collaborate with BI teams to deliver trusted reporting datasets
  • Contribute to platform improvements and architectural decisions
  • Maintain documentation and data lineage records
Technologies:
  • Azure
  • Cloud
  • Databricks
  • ETL
  • Fabric
  • Support
  • Python
  • SQL

More:

We are growing our data team and are seeking a Senior Data Engineer to contribute to the development of our modern, Azure-based cloud data platform. You will work alongside data engineers, BI specialists, and business stakeholders, helping evolve our data estate and deliver reliable datasets for analytics, reporting, and operational decision-making.

last updated 43 week of 2026

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