Data Engineer

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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 

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