Data Engineer

This is a key technical role responsible for designing, building and maintaining scalable data platforms and pipelines that enable trusted data for reporting, analytics and business decision-making. The successful candidate will provide technical leadership across data engineering initiatives, ensuring solutions are secure, reliable and aligned with wider organisational objectives.

This role offers a predominantly remote working arrangement, with only occasional onsite attendance required for key meetings or collaboration sessions.

As the Data Engineer, you will work closely with architects, analysts, engineers and business stakeholders to deliver high-quality data solutions, establish engineering best practice and contribute to the ongoing development of the organisation’s data capability. What you will be doing as Data Engineer:

• Lead the design, development and optimisation of enterprise data pipelines and integration solutions.
• Build and maintain secure, scalable and reliable data platforms to support analytics and reporting.
• Define and promote engineering standards covering automation, testing, monitoring and documentation.
• Implement data quality, validation and monitoring processes to improve the reliability of data products.
• Investigate and resolve complex data issues, driving continuous improvement across the data platform.
• Collaborate with technical and business stakeholders to translate business requirements into robust engineering solutions.
• Ensure data solutions are delivered with appropriate governance, security and operational support.
• Mentor colleagues and contribute to the continuous improvement of data engineering practices, standards and tooling.

• Significant experience working in Data Engineering, Analytics Engineering or Data Platform Engineering within a complex organisation.
• Strong experience designing and developing enterprise-scale data pipelines and integration solutions.
• Experience working with structured and semi-structured data to support analytics and reporting.
• Strong understanding of data modelling, ETL/ELT processes and modern data engineering principles.
• Experience implementing data quality controls, monitoring and performance optimisation.
• Experience working with the Microsoft data stack, particularly Microsoft Fabric.
• Experience working with Microsoft Azure and the Microsoft Power Platform would be advantageous.
• Strong stakeholder management skills with the ability to communicate effectively with both technical and non-technical audiences.
• Experience working within secure, well-governed data environments.

• Competitive salary and comprehensive benefits package.
• Predominantly remote working, with only occasional onsite attendance required for key meetings or collaboration sessions.
• Opportunity to work on large-scale data transformation and modernisation initiatives.
• A collaborative environment with opportunities for professional development and career progression.

If you feel you have the relevant skills and experience for the Data Engineer position, then please apply or reach out to Sadie Wilkes at Sellick Partnership for more information.

Sellick Partnership are currently partnered with a Public Sector organisation to recruit an experienced Data Engineer to support the continued development and evolution of its enterprise data platform.