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About the Role:

Join our dynamic Central Europe Backend Engineering team as a Data Engineer with Databricks and play a crucial role in shaping our data landscape! We're seeking a skilled, hands-on expert in Databricks and data engineering to design, develop, and implement robust data pipelines, specifically processing shipment, sell-out, and market share data across Central Europe.

This is a high-impact opportunity to contribute to a significant scope: powering 12+ digital products and serving 700 users across the region. Your work will directly enable insightful analytics, drive data-driven decision-making, and help us continuously innovate and optimize our business strategies.

If you thrive in a fast-paced environment, love solving complex data challenges, and are passionate about building scalable, efficient data solutions, we encourage you to apply!

Key Responsibilities:

As a Databricks Data Engineer, you will:

• Develop Core Data Solutions: Design and develop high-quality code within Databricks (leveraging PySpark notebooks and SQL) to meet specific business requirements, comprising at least 70% of your primary responsibilities.

• Accelerate Development: Utilize existing AI capabilities, such as GitHub Copilot or industry tools like BMAD, to enhance productivity and accelerate development cycles.

• Data Set Assembly: Assemble and prepare large, complex datasets, ensuring they meet critical functional and non-functional business requirements for diverse applications.

• Architectural Collaboration: Partner with data asset managers, architects, and development leads to ensure all technical data solutions are fit for purpose, align with architectural blueprints, and deliver high-quality, reliable data.

• Maintain Standards: Contribute to and actively leverage established coding standards and best practices, ensuring that all services and components are efficient, scalable, and reusable.

• Cross-Functional Partnership: Collaborate effectively with front-end teams, embracing a "data as a product" mindset to ensure seamless data delivery and integration.

• Adhere to Best Practices: Consistently apply sound development practices and adhere to agreed-upon architectural designs throughout the development lifecycle.

• Technical Debt Reduction: Proactively identify and define infrastructure revamp initiatives aimed at reducing technical debt and enhancing system longevity.

• Agile Delivery: As an integral member of a Scrum team, deliver data engineering projects efficiently and in alignment with business priorities and agile methodologies.

• Operational Support: Provide timely L3 support for existing data processes, thoroughly analyzing bugs and incidents to ensure system stability and performance.

• Process Improvement: Identify, design, and implement continuous internal process improvements to streamline and automate backend operations.

• Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data engineering and management, applying this knowledge to drive innovation, foster improvement, and contribute to team-wide knowledge sharing initiatives.

Job Qualifications

Qualifications:

• PySpark Expertise: Strong proficiency in PySpark for efficient data processing, transformation, and analysis.

• Databricks Proficiency: Proven hands-on experience with Databricks, including cluster management, notebook development, and job scheduling.

• SQL Mastery: Advanced proficiency in SQL for complex data manipulation, querying, and performance tuning.

• Data Pipeline Experience: Solid experience in designing, implementing, and optimizing robust data pipelines and ETL/ELT processes using PySpark and Databricks.

• Data Modeling Knowledge: Familiarity with data modeling, data warehousing concepts, and dimensional modeling techniques.

• Data Architecture Understanding: A clear understanding of data integration patterns, data lake architectures, and best practices for ensuring data quality.

• Workflow Orchestration (Plus): Experience with Databricks Workflow management and the orchestration of data pipelines is a significant advantage.

• Cloud Platform Exposure (Plus): Experience with Google Cloud Platform (GCP) will be considered a plus.

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.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

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.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

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