Senior Data Engineer

Jackson Hogg Limited; Sunderland; On-site; GBP 60,000 - 90,000; Full time

Job summary

Jackson Hogg Limited is seeking a Senior Data Engineer in Sunderland to help build and evolve a modern Azure-based data platform. You will design scalable data pipelines, integrate multiple data sources, and deliver reliable datasets for analytics, reporting, and decision-making across the organisation.

You will collaborate with data engineers, BI specialists, and business stakeholders to advance the data estate, improve data quality, and drive platform performance.

Qualifications

• Experience with ETL/ELT and data pipelines.
• Experience with Python or a similar programming language.
• Understanding of data modelling and ETL/ELT concepts.
• Experience implementing data validation and testing processes.
• Strong communication and stakeholder engagement skills.

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.
• Experience with Python or a similar programming language.

Skills

Python

ETL/ELT

Data pipelines

Data modelling

Data governance

Stakeholder engagement

Tools

Azure

Job description

An exciting opportunity has arisen for a Senior Data Engineer to join a growing data team and contribute to the development of a modern cloud-based data platform.

You'll be responsible for developing scalable data pipelines, integrating multiple data sources, and delivering reliable datasets that support analytics, reporting, and operational decision-making across the organisation.

Working alongside data engineers, BI specialists, and business stakeholders, you'll play a key role in the ongoing evolution of the company's Azure-based data estate.

Key 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
• Experience with Python or a similar programming language
• Understanding of data modelling and ETL/ELT concepts
• Experience implementing data validation and testing processes
• Strong communication and stakeholder engagement skills