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4 дня назад

Azure Databricks Technical Lead

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Azure Databricks Technical Lead (Azure Databricks/Data Engineering): Building and operating Azure Databricks platforms, data ingestion and transformation pipelines, and enterprise integrations with an accent on platform engineering, production operations, and cost optimisation. Focus on configuring serverless workloads, implementing CDC and data quality controls, securing Azure integrations, and supporting migration and deployment activities.

Location: Anywhere in the UK; hybrid working across company offices, client sites, and home, with no 100% home working.

Company

hirify.global, part of the Capgemini Group, delivers custom technology solutions and digital transformation services for clients.

What you will do

  • Implement, configure, troubleshoot, and optimise Azure Databricks platforms, including Serverless, Databricks SQL, Delta Lake, clusters, compute policies, autoscaling, and monitoring.
  • Design and build full and incremental ingestion and transformation pipelines with CDC, data quality controls, schema evolution, reconciliation, and error handling.
  • Develop integrations with REST APIs, databases, SaaS applications, cloud storage, and enterprise systems using secure authentication and credential management.
  • Manage Azure identity, access, networking, private endpoints, security, Key Vault, monitoring, and operational support.
  • Implement FinOps practices including resource tagging, cost monitoring, reporting, budget controls, and usage optimisation.
  • Support production operations, application deployment, BI tooling integration, scheduling, and POSIT/RStudio migration activities.

Requirements

  • Hands-on experience implementing and troubleshooting Azure Databricks and supporting production environments.
  • Strong Python, PySpark, and SQL development skills.
  • Experience with monitoring, incident management, troubleshooting, performance tuning, operational governance, and platform standards.
  • Experience integrating Azure services, APIs, databases, SaaS applications, cloud storage, and enterprise systems.
  • Experience collaborating with Data Engineers, Data Scientists, and Platform Teams, including technical documentation, knowledge transfer, and Agile delivery.
  • Ability to work in the UK hybrid model and complete pre-employment identity, nationality or immigration, employment history, and criminal record checks.

Nice to have

  • POSIT/RStudio migration experience.
  • AI/ML and LLM integration, RAG, or vector database exposure.
  • Experience in regulated industries.

Culture & Benefits

  • Hybrid-first working with flexible working arrangements available to UK employees.
  • Learning and development through training, think tanks, hackathons, external certifications, and access to extensive online courses.
  • Inclusive recruitment practices through the Disability Confident Employer scheme.
  • Opportunities to work with international technology, engineering, data, and transformation experts.

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