Data Engineer
Role details
Job location
Tech stack
Job description
Excellent opportunity for a senior Data Engineer to join a major national organisation and take ownership of the architecture, development and ongoing evolution of its enterprise data platform.
This is a newly influential role within an organisation investing significantly in data, reporting and technology. You will have the opportunity to design and develop scalable data pipelines, shape the architecture of a Microsoft-based data lake and work directly with senior stakeholders across technology and finance.
Reporting to the Group IT Director, you will build and maintain data solutions across Azure and AWS, bringing together information from multiple systems and ensuring that complex datasets remain accurate, secure and reliable.
You will work closely with developers, infrastructure engineers, data specialists, report writers and senior business users. The position therefore offers a strong mixture of hands-on engineering, technical ownership and stakeholder engagement., * Designing, developing and maintaining scalable data pipelines
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Building data architecture that brings together multiple business systems
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Developing and supporting a Microsoft-based enterprise data lake
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Designing and maintaining MS SQL databases and related data systems
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Building ETL and data transformation solutions using Databricks and Azure Data Factory
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Developing cloud-based data solutions across Azure and AWS
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Ensuring the quality, integrity and reliability of complex datasets
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Working closely with FP&A, technology teams and senior business stakeholders
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Collaborating with developers, infrastructure engineers and reporting specialists
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Troubleshooting complex data and pipeline issues
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Four days per week based in the Newcastle office, with one day working from home, Salary, remote work... Define all the criteria that are important to you.
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Requirements
The ideal candidate will have expert SQL skills, extensive MS SQL Server experience and strong knowledge of Databricks and Azure Data Factory. You must also have practical experience delivering data solutions across both Azure and AWS environments., * Senior-level Data Engineering experience
- Expert SQL knowledge
- Extensive experience with Microsoft SQL Server
- Strong experience with Databricks
- Experience building ETL pipelines using Azure Data Factory or similar tools
- Hands-on experience working across both Azure and AWS
- Programming knowledge using Python, Java, C# or a similar language
- Strong understanding of data architecture, data lakes and pipeline development
- Confident communicating with both technical and non-technical stakeholders
- Experience working with financial systems or FP&A teams would be advantageous
Benefits & conditions
The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.