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4 дня назад

Lead Data Engineer (GCP)

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
Lead Data Engineer (GCP): Designing and delivering scalable, resilient data platforms and batch and streaming pipelines on Google Cloud with an accent on BigQuery data modelling, production-grade Python and SQL, and engineering standards. Focus on owning architecture decisions, embedding data quality and observability, resolving complex data engineering problems, and mentoring engineers across the team.

Location: Hybrid role requiring attendance at least 3 days a week at GSIQ in Solihull, United Kingdom

Company

hirify.global is a rapidly growing fitness and conditioning apparel company building products and experiences for a global community.

What you will do

  • Own the technical design and architecture of scalable data pipelines, data models, and platform components.
  • Set engineering standards for code quality, testing, observability, security, and documentation.
  • Lead technical discovery, design sessions, code reviews, and architecture decisions.
  • Build and improve batch and streaming data platforms using the GCP ecosystem.
  • Embed data quality, access control, privacy, monitoring, and alerting into engineering work.
  • Mentor Data Engineers, facilitate knowledge sharing, support hiring, and collaborate with Data Governance, Data Product, and wider Tech teams.

Requirements

  • Strong data engineering experience in a senior or lead-level technical role.
  • Deep expertise in GCP, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
  • Advanced Python and SQL skills, including performant production code and rigorous code reviews.
  • Experience designing complex scalable pipelines using batch and streaming or event-driven patterns.
  • Strong data modelling experience with dimensional modelling, Data Vault, or equivalent, plus Dataform or similar SQL-based transformation tools.
  • Experience with CI/CD, Git, testing frameworks, Terraform, data quality, observability, technical leadership, mentoring, and stakeholder management.

Nice to have

  • DataProc and Spark experience for large-scale distributed processing.
  • Looker or similar BI tooling and familiarity with analytics engineering practices.
  • Experience with data contracts, semantic layers, data mesh, or data platform architecture patterns.
  • GCP cost management, BigQuery cost optimisation, ML infrastructure, feature engineering, or data science platform enablement.
  • Experience in e-commerce or retail data environments.

Culture & Benefits

  • Performance-based bonus opportunity.
  • Funded healthcare, contributory employer pension, life assurance, and enhanced family leave.
  • 25 days of holiday, an additional birthday day, and bank holidays.
  • Flexible benefits including an electric vehicle salary-sacrifice scheme, dental insurance, cycle-to-work scheme, technology scheme, and holiday trading.
  • hirify.global employee discount, long-service awards, cashback and discounts, and wellbeing support.
  • Office-specific benefits include gym membership, onsite lunch and coffee bars, and electric vehicle charging points.

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