Назад
3 дня назад

Senior Forward Deployed Engineer (Fullstack)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Forward Deployed Engineer (Fullstack): Building and productionizing data and AI solutions on the Databricks platform with an accent on architecture design, system integration, and customer-facing technical delivery. Focus on implementing end-to-end data pipelines, ML/AI model integration, and scalable applications to drive measurable business outcomes for strategic enterprise clients.

Location: London, United Kingdom (Hybrid role with 20% travel requirement).

Company

Databricks is the data and AI company, providing a unified platform for data, analytics, and AI, trusted by over 10,000 organizations worldwide.

What you will do

  • Lead impactful customer technical projects by delivering production-grade systems and reference architectures.
  • Guide strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
  • Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
  • Embed with customer teams to understand challenges and deliver high-impact technical solutions.
  • Collaborate with internal engineering, product, and project management teams to ensure successful engagement delivery.
  • Contribute reusable assets, frameworks, and best practices to scale impact across accounts.

Requirements

  • Extensive experience in data engineering, data platforms, or software engineering.
  • Proficiency in Python, Scala, JavaScript, or TypeScript and modern frameworks.
  • Working knowledge of at least two major cloud ecosystems (AWS, Azure, or GCP).
  • Deep experience with distributed computing using Apache Spark and knowledge of its runtime internals.
  • Experience with CI/CD, MLOps, and deploying end-to-end data architectures.
  • Proven ability to manage technical project delivery, scope, and stakeholder expectations in enterprise environments.

Culture & Benefits

  • Comprehensive benefits and perks tailored to regional needs.
  • Commitment to a diverse and inclusive culture with equal employment opportunity standards.
  • Opportunity to work at the intersection of cutting-edge AI technology and business strategy.
  • Collaborative environment working with industry-leading data and AI experts.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →