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Procter & Gamble

Lead Data Engineer & DevOps

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay €45K - 85K a year · our estimate

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Description

The company's Beauty Care sector covers skin, personal care and hair care brands, and the Warsaw IT hub delivers IT services and solutions to the Beauty Care business worldwide.

The Warsaw roles cover data and analytics, DevOps and architecture, including software engineering, data and AI engineering, data asset management and product management.

The team is hiring a Lead Data Engineer & DevOps to lead the JBP with central, raise the technical skills of the team, and set best practices and processes.

Responsibilities

  • Set the long-term platform architecture with the data asset manager and solution and enterprise architects, producing a resilient technical roadmap that will hold up over time.
  • Design and tune batch and streaming data pipelines on the current Google Cloud stack that handle high volume and meet both functional and non-functional requirements.
  • Build large, complex datasets by acquiring, cleansing, transforming, validating and publishing data from many different sources.
  • Own the DevOps approach for data platforms, provisioning and managing cloud infrastructure as code so environments are reproducible, version-controlled and modular.
  • Build and standardise automated CI/CD pipelines that include automated testing, data contract checks and zero-downtime deployments.
  • Add SRE-style monitoring, logging and alerting to keep systems highly available, and actively manage and optimise GCP spend and resource allocation.
  • Build enterprise security controls and data governance standards into deployment pipelines and infrastructure configuration.
  • Coach engineers in modern data engineering and DevOps, and set standards for code reviews, architecture documentation and production readiness.

Requirements

  • Senior experience in data engineering, management or both.
  • Experience with Azure, Google Cloud Platform or both.
  • Working knowledge of SQL, Python, PySpark and coding standards.
  • Strong client management and communication skills.
  • Hands-on experience writing clean, effective code.
  • Experience with Databricks and Power BI.
  • DAMA certification.
  • Experience with SCRUM and DevOps methodologies.
  • Experience using or building CI/CD tools.

Conditions

Full-time employment under a Umowa o Pracę (Polish full-time employment contract) only. Apply only if you accept this.

Based in the Warsaw downtown office.

Hybrid work: you can work from home two days a week and spend the rest in the office.

Job number R000153283. Experienced professional level.

The company is an equal opportunity employer and values diversity.

Benefits

  • Ownership of your work and autonomy to deliver results from day one.
  • A supportive, people-focused workplace that encourages initiative, agility and work-life balance.
  • Ongoing coaching and mentoring from your line manager and colleagues, plus corporate and functional training from day one.
  • Industry certifications such as ITIL and DevOps, private healthcare, Dynamic Living wellness programmes including sport cards, an in-office fitness centre, company stock options, savings plans, lunch subsidy, regular pay rises and possible promotions, flexible working arrangements and mentoring programmes.
  • A broad view of the IT and Product Supply organisation and its services across global, multi-functional teams in several locations on different continents.

Where you’d work

Hybrid, 1 to 2 days a week in the office

About the company

Procter & Gamble

Offices in Warsaw, Poland, Poland

Also hiring in New York, United States, United States, Boston, United States and 14 more places

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Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • Google Cloud
  • Azure
  • Spark
  • Databricks
  • Power BI
Seniority
Lead
Type
Full-time
Equity
Equity offered
Specialty
Data Engineering
Region
Europe
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Lead
Experience
6+ years
Tech stack
  • Python
  • SQL
  • Google Cloud
  • Azure
  • Spark
  • Databricks
  • Power BI

Location

Work model
Hybrid
Region
Europe
Offices
  • Warsaw, Poland
  • Poland
Days in the office
1 to 2 days

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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