Senior Data Engineer

About the OpportunityAn ambitious and fast-growing organisation is investing heavily in its technology, data and AI capabilities as part of a major transformation programme. With significant platform modernisation, cloud adoption and large-scale data initiatives underway, this is an opportunity to join at a pivotal stage and play a key role in shaping the future data landscape. Working as part of a collaborative technology team, you'll take ownership of complex data engineering projects, helping to migrate, optimise and modernise critical data platforms while supporting the business's long-term growth plans. This is a highly visible role offering genuine influence, exposure to senior stakeholders and the opportunity to mentor and develop less experienced team members. This is a full-time, permanent position based predominantly onsite in Newcastle, working closely with colleagues across technology and the wider business.Key Responsibilities\n

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• Design, build and optimise data pipelines and ETL processes.
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• Lead complex data migration and integration initiatives across multiple platforms.
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• Cleanse, transform and improve data quality within enterprise systems.
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• Work closely with business stakeholders to translate requirements into scalable technical solutions.
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• Support cloud-based data engineering initiatives within an AWS environment.
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• Contribute to the development of future AI and automation capabilities by ensuring data is accurate, accessible and fit for purpose.
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• Help establish best practice around data governance, architecture and engineering standards.
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• Mentor junior team members and support the ongoing development of internal capability.
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• Collaborate with technical and non-technical teams to deliver business-critical projects.
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Candidate Profile\n

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• Design, build and optimise data pipelines and ETL processes.
\n
• Lead complex data migration and integration initiatives across multiple platforms.
\n
• Cleanse, transform and improve data quality within enterprise systems.
\n
• Work closely with business stakeholders to translate requirements into scalable technical solutions.
\n
• Support cloud-based data engineering initiatives within an AWS environment.
\n
• Contribute to the development of future AI and automation capabilities by ensuring data is accurate, accessible and fit for purpose.
\n
• Help establish best practice around data governance, architecture and engineering standards.
\n
• Mentor junior team members and support the ongoing development of internal capability.
\n
• Collaborate with technical and non-technical teams to deliver business-critical projects.
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