Job Location

Warsaw

Job Description

Are you passionate about leveraging information technology solutions to drive better business value? Are you ready to take on the challenge of managing applications at a global scale? If so, we have an exciting opportunity for you.

We are seeking a talented Data Engineer to lead our data engineering, data governance, and data quality activities. In this role, you will play a crucial role in designing, developing, and implementing cloud-based data and analytics platforms. You will be responsible for creating and maintaining data pipelines that acquire, cleanse, transform, and publish data, ensuring it meets both functional and non-functional business requirements supporting consumer-facing applications, including brand websites and Direct-to-Consumer selling platforms for our renowned Grooming brands (Braun, Gillette, Venus, The Art of Shaving) around the world.

Responsibilities:

Understand the need of Business/Operations teams

Design, develop, and implement data and analytics platforms (DAP) and pipelines

Create and optimize data models to support business intelligence and analytics needs

Develop and manage Extract, Transform, Load (ETL) processes to ensure data integrity and quality

Administer and optimize databases, ensuring efficient storage and retrieval of data

Integrate data from various sources, including APIs, databases, and third-party services

Monitor and optimize data processing performance to ensure timely data availability

Work closely with data scientists, analysts, data assets managers, architects, and stakeholders to understand data requirements and provide fit for use solutions

Utilize coding standards and best practices for efficient and reusable services and components

Implement and optimize data engineering best practices, including query optimization, version control, and code reviews

Utilize end-user visualization tools like Power BI for data presentation

Implement data governance policies to ensure data security, compliance, and quality standards

Maintain comprehensive documentation for data architecture, processes, and workflows

Build strong relationships and work collaboratively within multidisciplinary teams

Stay updated on emerging technologies and tools to enhance data engineering practices and infrastructure

Job Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field, a Master’s degree is a plus

Proficiency in programming languages such as Python, Java, R or Scala

Strong understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).

Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).

Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).

Experience with cloud services (e.g. Google Cloud Platform, Azure, AWS) for data storage and processing.

Hands-on knowledge of PowerBI and GitHub Actions.

Understanding of data modeling techniques and best practices

Familiarity with data engineering best practices, including query optimization and version control.

Knowledge of modern application development frameworks and tools

Experience with end-user visualization tools like Power BI.

Strong problem-solving abilities, communication skills, and a collaborative mindset

Excellent communication skills and the ability to work effectively in diverse, multidisciplinary teams

We offer

P&G-sized projects and access to world leading IT partners and technologies from Day 1

Wide range of self-development possibilities (training and certifications paths)

Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards) 

Regular salary increases and possible promotions - in line with your results and performance

Opportunity to change role every few years to be in the best place for you and best for P&G 

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000116703

Job Segmentation

Experienced Professionals (Job Segmentation)