Haystack

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with significant experience in data engineering within a complex organization. The contract is hybrid, offering a competitive pay rate. Key skills include Azure, ETL, data quality, and automation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Documentation #Monitoring #Data Pipeline #"ETL (Extract #Transform #Load)" #Automation #Scala #Azure #Data Quality
Role description
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. 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. 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!