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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Мало
£51к-55к/год
£62к£68кмедиана£110к
По похожим ролям (21) ~ £68к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Роль описана чётко и даёт практический опыт работы с современными облачными платформами данных, но акцент на поддержке может означать больше разбора инцидентов, чем разработки новых функций.
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Ниже рынкаСовременные платформы данныхПонятные задачиМного поддержки
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Support Developer (Azure Data Factory/Databricks/Power BI): Building and supporting high-reliability data pipelines and modern cloud data infrastructure while maintaining legacy SQL platforms, with an accent on automation, incident resolution, and operational stability. Focus on optimizing Azure Data Factory, Databricks, Fabric, and SQL solutions, resolving complex data failures, and applying AI-driven automation to enterprise data operations.
Location: Hybrid role based in Leicester, United Kingdom.
Salary: £51,400–£55,400 per year.
Company
hirify.global is modernizing its Business Intelligence Systems environment from legacy architectures to a cloud-first data ecosystem supporting business-critical retail data services.
What you will do
Maintain communication with business stakeholders throughout the support lifecycle, provide clear technical status updates, and confirm issue resolution.
Optimize existing data solutions, automate workflows, streamline batch processing, and modernize the hybrid data environment.
Monitor and maintain high-availability data pipelines, troubleshoot root causes, and restore critical services.
Own complex incidents and tasks, coordinate cross-functionally through ServiceNow, and deploy permanent fixes.
Support maintenance, patch management, platform upgrades, data security, cyber resilience, and cost-efficiency practices.
Mentor junior developers, support pair programming, and explore AI/ML and intelligent automation for data challenges.
Requirements
Proven senior-level experience diagnosing complex data failures, managing process dependencies, and restoring critical services.
Experience supporting legacy SQL Server environments and working with modern cloud architectures.
Hands-on experience with job scheduling, dependency management, and batch script execution using ActiveBatch or equivalent enterprise scheduling tools.
Practical experience using AI tools and smart automation to accelerate troubleshooting and reduce repetitive manual work.
Experience building and supporting data pipelines with Azure Data Factory, SSIS, and API integrations.
Hands-on experience with Azure Data Lake, Databricks, and Microsoft Fabric.
Proficiency in SQL and Python, including MS SQL Server, advanced querying, performance tuning, and data validation.
Knowledge of ITIL principles covering Incident, Problem, and Change Management, using ServiceNow.
Clear communication of complex technical concepts, proactive collaboration, adaptability, accountability, and willingness to mentor others.
Nice to have
Experience with PySpark, Delta Lake, or dimensional modelling and data warehousing principles.
Familiarity with SQL Server SSAS Tabular, DAX, or Azure Event Hubs.
Interest or practical exposure to Generative AI, AI agents, or ML-driven automation for enterprise data pipelines.
Proficiency in Power BI and familiarity with SSRS or equivalent enterprise reporting environments.
Familiarity with advanced ActiveBatch workflow design, automation, dependency management, and job monitoring features.
Culture & Benefits
Company performance-based bonus and Sharesave scheme.
Discounts across hirify.global, partner, beauty, and branded retail products, plus early sale access and staff-shop benefits.
On-site nursery, free on-site parking, restaurants, and access to a digital GP and health and wellbeing services.
Apprenticeship opportunities, financial wellbeing support, and discounted Wellhub gym memberships.
Support Networks and workplace adjustments during the application process.
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