An exciting opportunity has arisen for a 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
Essential Skills
- 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
Desirable Skills
- Azure Data Factory
- Databricks
- Synapse Analytics
- Microsoft Fabric
- Azure SQL
- Data Lake technologies
- Experience within regulated sectors
- Cloud-based data platform experience
An exciting opportunity has arisen for a 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
Essential Skills
- 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
Desirable Skills
- Azure Data Factory
- Databricks
- Synapse Analytics
- Microsoft Fabric
- Azure SQL
- Data Lake technologies
- Experience within regulated sectors
- Cloud-based data platform experience
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Consultant
Adam Gowland
Adam joined Jackson Hogg in July 2024, bringing with him over six years of industry experience. He leads Senior IT and Infrastructure recruitment across the North East of England, partnering with organisations to identify high-calibre talent and supporting candidates in securing the next step in their careers. Outside of work, Adam enjoys staying active; whether that’s playing a round of golf, taking long walks with his dog, or spending time at the gym.
Management & Infrastructure
07460047738
adam.gowland@jacksonhogg.comRelated jobs
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