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We're partnering with a prominent public sector organisation to find an experienced Data Engineer to drive the continued development and evolution of its enterprise data platform. This is a critical technical role focusing on designing, building, and maintaining scalable data platforms and pipelines to ensure trusted data for reporting, analytics, and crucial business decision-making.
The Role
- 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.
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What You'll Need
- Significant experience 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 and Azure.
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What's On Offer
- Competitive salary and comprehensive benefits package.
- Predominantly remote working, with occasional onsite attendance.
- Opportunity to work on large-scale data transformation and modernisation initiatives.
- A collaborative environment with opportunities for professional development and career progression.
Apply via Haystack today!
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