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7 часов назад

Lead Data Engineer (Snowflake)

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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TL;DR

Lead Data Engineer (Snowflake/DataOps): Develop and maintain production-grade data pipelines for decision-making and data science applications with an accent on data quality, flow, organization, and modeling approaches. Focus on deploying modern data platforms using SQL, orchestration tools like Airflow/dbt, cloud services, and DataOps practices in fast-moving agile multi-disciplinary teams.

Location: Blended working model across home, clubhouses in UK/Europe, client sites, and other locations.

Company

Tech company focused on accelerating digital delivery, building better digital products and teams, with 1,300+ people in clubs across UK and Europe, planning global expansion.

What you will do

  • Develop pipelines that enable data for decision-making and sophisticated data science applications.
  • Apply practical data handling including quality, flow, organization, and data modeling.
  • Work in agile, fast-moving multi-disciplinary teams delivering modern data platforms to large organizations.
  • Use SQL and orchestration tools (dbt, Airflow/Prefect/Dagster) for production-grade pipelines.
  • Leverage cloud platforms (AWS, Azure, GCP) and associated technologies like DynamoDB, Redshift, Glue.
  • Implement DataOps practices (CI/CD, version control, IaC) and adopt Data Product mindset for discoverable, trustworthy datasets.

Requirements

  • Hands-on experience with SQL and task orchestration (dbt, Airflow/Prefect/Dagster or equivalent).
  • Strong Snowflake experience (Databricks a bonus).
  • Practical experience with at least one cloud platform (AWS, Azure, GCP) and related services.
  • Hands-on DataOps (CI/CD, version control, IaC).
  • Experience bridging technical engineering and business value, translating needs into data product specs.
  • Comfortable in fast-paced agile environments with multi-disciplinary teams.

Nice to have

  • Databricks experience.

Culture & Benefits

  • Values of wonder, share, delight fostering collaboration, ambition, curiosity, and fun.
  • Blended working model for flexibility across locations.
  • 25 days holiday + flexible bank holidays, 2 volunteering days, share scheme.
  • £1000 flexifund for gym, cycle to work, health/dental/optical plans.
  • Annual training budget with allocated days off, dedicated career scrum team.
  • Monthly/quarterly team socials.

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