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Procter & Gamble

Makes household and personal care products

Data & BI Engineer - BigQuery, Looker

Data Engineering +1Confirmed live in the last 24 hours
Full-timeBucharest, Romania$14.7k - $19.6k /mo

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Engineering, or a related field.
  • Experience in data engineering, analytics engineering, BI development, or a related field.
  • Strong SQL skills and hands-on BigQuery experience, including partitioning, clustering, window functions, scheduled queries, and cost optimization.
  • Hands-on experience with Cloud Spanner or a comparable distributed or relational database, including schema and data modeling, DDL/DML, primary-key and hotspot design, secondary indexes, interleaved tables, transactions, and query optimization.
  • Hands-on experience developing in Looker and LookML, including models, views, explores, dashboards, and persistent derived tables.
  • Experience building data pipelines on GCP using BigQuery, Cloud Workflows, Pub/Sub, Cloud Run, Cloud Scheduler, and BigQuery Data Transfer Service, including federated queries between Spanner and BigQuery.
  • Proficiency with Python for data processing, automation, and pipeline tooling.
  • Experience with dimensional or star-schema data modeling and building curated, reusable data marts.
  • Familiarity with Terraform and infrastructure-as-code for data resources.
  • Understanding of data quality, testing, and observability practices.
  • Working knowledge of Git, CI/CD, and conventional commits.
  • Awareness of data security and governance, including least-privilege IAM, parameterized queries, PII handling, and HTTPS-only practices.

Responsibilities

  • Design, evolve, and optimize Cloud Spanner data models and schemas, including tables, primary keys that avoid hotspots, secondary indexes, and interleaved parent-child tables; write efficient, parameterized DML and queries with sound read-only versus read-write transaction handling.
  • Design, build, and operate GCP data pipelines moving and transforming data from Cloud Spanner into BigQuery using federated queries (EXTERNAL_QUERY), scheduled queries, and BigQuery Data Transfer Service.
  • Model the BigQuery warehouse across staging and curated layers, applying partitioning, clustering, and cost-aware design for performance and spend control.
  • Develop and maintain reporting views and analytical SQL, including window functions, incremental logic, and reconciliation, to feed dashboards and downstream consumers.
  • Develop and extend the Looker LookML semantic layer, including models, views, explores, dashboards, and persistent derived tables; build and maintain Looker data tests and custom visualizations.
  • Own data quality, freshness, and reconciliation across Spanner and BigQuery by implementing tests, monitoring, and alerting so metrics are accurate and trustworthy for leadership reporting.
  • Integrate data from social platforms, third-party influencer marketplaces, comment and brand-safety annotation jobs, and internal P&G systems into the warehouse.
  • Orchestrate pipelines and jobs with Cloud Workflows, Cloud Run, Pub/Sub, and Cloud Scheduler; manage secrets with Secret Manager and logs with Cloud Logging.
  • Contribute to Terraform for Spanner instances and databases, BigQuery datasets, scheduled queries, connections, and IAM, supporting self-serve provisioning and policy guardrails.
  • Optimize query performance and cost across Spanner and BigQuery, and identify and implement reliability and cost-reduction opportunities across the data and BI layer.
  • Partner with analysts, product managers, and engineers to translate reporting requirements into well-modeled, reusable data products, and uphold data-modeling standards, documentation, and conventions, including the P&G fiscal calendar and sector/brand taxonomy.
  • Apply security and governance best practices, including parameterized queries, least-privilege IAM, row- and column-level access where required, and avoiding hardcoded secrets.

Desired Qualifications

  • Custom Looker visualizations.
  • Dataform or dbt.
  • Experience with marketing, campaign, or social-media data.
  • Professional Data Engineer certification for Google Cloud Platform.
  • Associate Cloud Engineer certification for Google Cloud Platform.
  • Looker LookML Developer or Looker Business Analyst certification from Google Cloud.
  • HashiCorp Certified: Terraform Associate.

About the Company

Procter & Gamble

Makes household and personal care products

Procter & Gamble makes household and personal care products that consumers use for cleaning, grooming, hygiene, and everyday health. Its portfolio includes Tide laundry detergent, Pampers diapers, Gillette razors, and Crest toothpaste, with brands tailored to different needs and markets. The company develops and manufactures these branded goods, then earns revenue by selling them through retailers, distributors, online stores, and direct consumer channels. Its businesses span beauty and hair care, shaving, oral and personal health, fabric and home care, and baby and family care. Founded in 1837, Procter & Gamble is headquartered in Cincinnati, Ohio.

Company size
10,001+
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1837

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