Назад
Company hidden
6 дней назад

Data & BI Engineer (BigQuery, Spanner & Looker)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data & BI Engineer (BigQuery, Spanner & Looker) (Social Digital Products): Building and operating data models, GCP pipelines, analytical warehouses, and Looker reporting for an influencer marketing platform with an accent on Cloud Spanner, BigQuery, LookML, and data quality. Focus on optimizing distributed database and warehouse performance, designing reliable federated pipelines, and delivering governed metrics for campaign and brand-safety reporting.

Location: Bucharest Office, Romania; hybrid work with the option to work from home two days per week

Company

Procter & Gamble produces globally recognized consumer brands and uses technology to support marketing strategies and supply chain operations across approximately 70 countries.

What you will do

  • Design and optimize Cloud Spanner schemas, keys, indexes, interleaved tables, transactions, and queries.
  • Build and operate GCP pipelines that move and transform operational data from Spanner into BigQuery using federated queries, scheduled queries, and BigQuery Data Transfer Service.
  • Develop partitioned and clustered BigQuery warehouse layers, analytical SQL, reporting views, and reusable data marts.
  • Extend the Looker semantic layer with models, views, explores, dashboards, PDTs, tests, and custom visualizations.
  • Implement data quality, freshness, reconciliation, monitoring, alerting, security, and governance across the data and BI layer.
  • Orchestrate jobs with Cloud Workflows, Cloud Run, Pub/Sub, and Cloud Scheduler, while contributing to Terraform infrastructure and collaborating with analysts, product managers, and engineers.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field.
  • Professional experience in data engineering, analytics engineering, BI development, or a related area.
  • Strong SQL and hands-on BigQuery experience, including partitioning, clustering, window functions, scheduled queries, and cost optimization.
  • Hands-on Cloud Spanner or comparable distributed relational database experience covering schema design, DDL/DML, indexes, transactions, and query optimization.
  • Hands-on Looker/LookML development and experience building GCP pipelines, with proficiency in Python.
  • Experience with data modeling, Terraform, Git, CI/CD, data quality, observability, security, governance, and PII handling.

Nice to have

  • Google Cloud Professional Data Engineer or Associate Cloud Engineer certification.
  • Looker LookML Developer, Looker Business Analyst, or Terraform Associate certification.
  • Custom Looker visualizations, Dataform or dbt, and marketing, campaign, or social-media data experience.

Culture & Benefits

  • Hybrid work model with flexible scheduling.
  • Competitive salary package, annual and vacation bonuses, and additional bridge days off.
  • Private medical, life, and accident insurance.
  • Stock Ownership Plan with company matching on eligible investments.
  • Meal allowance, private canteen, flexible benefits fund, and discounted company products.
  • Learning and development platforms and an Employee Assistance Program.

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 →