Data Engineer

WARSAW PLANT & GO, Poland

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Job Location

Warsaw

Job Description

Poland - Warsaw – Zabraniecka

Are you looking to take your career to the next level? Join us!

As a Data Engineer in our team you will design, develop and implement data and analytics in Google Cloud Platform and pipelines which acquire, cleanse, transform and publish data. Assemble large, complex data sets which meets functional and non-functional business requirements. Analyze data quality, designs, and implements robust data pipelines that enhance our data quality analysis and drive continuous improvement. Partner with data asset managers and architects to ensure technical solution provides data which is fit for use and in line with architecture blueprints. Leverage coding standards and best practices to ensure efficient and re-usable services and components.

Job Qualifications

  • Experience: Bachelor's or master's degree in computer science, data engineering, or a related field with experience working in Google Cloud Platform
  • ETL Tools: Experience with ETL (Extract, Transform, Load) tools and frameworks for data integration and transformation.
  • Programming: Proficiency in programming languages such as PySpark, Python, and SQL for data manipulation, scripting, and automation.
  • Data Modeling: Knowledge of data modeling techniques and experience with data modeling tools.
  • Data quality: Experience building data pipelines for data quality monitoring and improvement.
  • Database Technologies: familiarity with databases (e.g., Cloud SQL) for data storage and retrieval
  • Data Warehousing: Understanding of data warehousing concepts, dimensional modeling, and experience with data warehousing technologies such as Big Query.
  • Data Governance: Knowledge of data governance principles, data security, privacy regulations (e.g., GDPR, CCPA), and experience implementing data governance practices.
  • Data Visualization: Experience of working with Looker Studio to build semantic data model & BI reports/dashboards.
  • Cloud Computing: Familiarity with cloud computing concepts and experience working with cloud platforms, particularly Google Cloud Platform.
  • Problem-Solving: Strong analytical and problem-solving skills to identify and resolve data-related issues.
  • Excellent communication skills and the ability to work effectively in diverse, multidisciplinary teams

What we offer:

  • Work in an international team with global responsibilities (with large part of engineering team located in Warsaw)
  • Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
  • Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
  • Internal coaching programs & training
  • Flexible working arrangements
  • Long-term career with development and growth opportunities

Who we are:

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Schedule

Full time

Job Number

R000124567

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Azure BigQuery Computer Science Data governance Data pipelines Data quality Data visualization Data Warehousing DevOps Engineering ETL GCP Google Cloud Looker Pipelines Privacy PySpark Python Scrum Security SQL

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Insurance

Region: Europe
Country: Poland

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