Data Analytics Engineer

We produce globally recognized consumer brands with operations in approximately 70 countries worldwide. Our portfolio includes brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, and Tampax®.

• Several years of hands-on experience delivering end-to-end Power BI solutions in complex business environments.
• Expert knowledge of Power BI components like Power Query, DAX, TMDL format, Field Parameters, and Calculation Groups.
• Strong data modeling skills including dimensional/star schemas and semantic modeling.
• Solid experience with SQL.
• Proven experience working with Git and CI/CD workflows for BI/reporting solutions.
• Experience collaborating with data engineers and operations/SRE teams on SLAs, monitoring, and validation.
• Strong communication skills with ability to challenge, refine, and document business requirements clearly.
• Comfortable working in Agile/Scrum teams.

Nice to have:

• Experience with broader Power Platform tools like Power Apps and Power Automate.
• Knowledge of data warehousing, BI architecture, and governance.
• Experience in large, international organizations.
• Relevant Microsoft certifications (e.g., PL-300).
• Experience with ETL/ELT data integration tools and data warehousing.

• Collaborate with business stakeholders to clarify requirements and translate them into report designs, KPIs, and user stories.
• Design and build enterprise-grade Power BI reports and dashboards aligned with internal UX/design standards.
• Define the semantic layer by translating business needs into measures, calculations, and dimensional models.
• Work with data engineers to translate semantic/model requirements into source data structures, pipelines, and transformations.
• Collaborate with Operations to define SLAs, monitoring, and validation points including data quality checks and alerting.
• Develop complex DAX measures, calculation logic, and row-/object-level security ensuring accuracy, performance, and consistency.
• Optimize dataset and report performance using techniques like model design, aggregations, indexing, partitioning, incremental refresh, and query tuning.
• Use Git-based workflows with branches, pull requests, and code reviews along with CI/CD pipelines to version, test, and deploy Power BI assets.
• Contribute to and enforce standards such as modeling conventions, naming, folder structures, documentation, and governance practices.
• Participate as an active member of a Scrum team including refinement, planning, reviews, retrospectives, and supporting stakeholders during rollout and adoption.

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Only apply if you agree to these conditions. The employer is an equal opportunity company and does not discriminate based on legally protected factors.