Data Engineer

Job Location WARSAW DOWNTOWN OFFICE Job Description The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.

Assemble large complex data sets which meet functional and non-functional business requirements. Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints. Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable. Identify, design, and implement internal process improvements. Job Qualifications Experience in data engineering, business intelligence, data science, or a related field. Strong understanding of Power BI semantic models, DAX, and analytical data modeling. Experience with Power BI, including working with datasets, measures, relationships, and report-facing data structures. Proficiency in Python and PySpark for data processing, transformation, and analysis. Experience with Databricks or similar platforms for data engineering tasks. Knowledge of Spark SQL, Delta Lake, and lakehouse-based data processing concepts. Understanding of ETL/ELT processes, data pipelines, and cloud-based data architecture. Familiarity with Azure data services, preferably Azure Databricks and Azure Data Lake. Familiarity with Git, pull requests, branching strategies, and collaborative development practices. Basic understanding of CI/CD practices for data pipelines and analytical solutions. Bachelor's degree in Computer Science or related field.

Experience developing or maintaining large Power BI semantic models / Tabular models. Knowledge of TMDL, Tabular Editor or Power BI deployment pipelines. Experience with dimensional modeling, star schemas, data marts, or medallion architecture. Hands-on experience with CI/CD implementation using Azure DevOps or similar tools. Knowledge of GitFlow branching model. Experience with performance optimization in Power BI, DAX, Spark, or Databricks. Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate.   We offer:   P&G-sized projects and access to world leading IT partners and technologies from day one;   Work in international teams with global responsibilities;   Friendly and supportive atmosphere at work;   Mentoring programs, trainings and industry certifications;   Opportunity to change role every few years to be in the best place for you and best for P&G;   Flexible work arrangements (work from home up to 2 days per week);   P&G Vibrant Living programs (sport cards, in-office fitness center);   Competitive salary and benefits program (private health care, PG stock, saving plans);   Regular salary revisions and possible promotions - all in line with your results, performance and potential;   Additionally, we offer the   Flex Fund   benefit – empowering you to craft a personalized benefits package tailored to your unique needs, priorities, and life stages. Whether you prioritize health and wellness or crave the perfect work-life balance, seize the freedom to select what truly matters to you.     Just so you know      We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.   All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status, or any other legally protected factor.     At P&G #weseeequal   We are an equal opportunity employer and value