Payroll Administration Specialist (Polish Payroll, SAP HR, English) @ Capgemini Polska Sp. z o.o.

Your profile • 10+ years of consulting experience, including 7+ years in Data Engineering and Analytics • 6+ Databricks projects delivered with hands-on development experience • Databricks Data Engineering Professional certification • Strong expertise in Databricks, Apache Spark, and Python • Experience with AWS, Azure, or GCP (deep expertise in at least one) • Performance and scalability optimization • CI/CD and MLOps knowledge, DevOps tools and practices Nice to have: • Additional Databricks certifications • ETL/ELT and Delta Lake • Big Data, Lakehouse, and Streaming architectures • Security & Data Governance Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role In this role, you ensure accurate, compliant, and efficient payroll operations while actively shaping and improving end‑to‑end payroll processes. You have a direct impact on organizational stability, risk mitigation, and decision‑making by delivering reliable data, insights, and expert support to managers. By leading payroll implementations, resolving complex issues, and supporting payroll transitions, you drive continuous improvement, operational excellence, and trust in payroll outcomes across the company. What You'll love about working here • Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. • Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. About Capgemini Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion. ,[Reviewing payroll processes to ensure compliance, accuracy, and operational efficiency, and recommending improvements., Providing expert support to managers through insights, reporting, and contribution to operational and strategic decision‑making, Independently addressing and resolving complex payroll issues, leading implementations, optimizing end‑to‑end processes, driving payroll improvements, and supporting payroll transitions., Supporting the team leader in delivering substantive training and guidance to less experienced team members, Preparing reports and analyses as required.] Requirements: Data engineering, Databricks, Spark, AWS, Azure, GCP, CD, MLOps, DevOps Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.