Your future role: You will design, build and maintain scalable, reliable data pipelines and data platforms supporting analytical and reporting solutions, You will work on end-to-end data engineering solutions - from data ingestion, through transformation and storage, to serving curated datasets for analytics and reporting, You will develop and optimize ETL / ELT pipelines using Databricks (Apache Spark, SQL, Python) and Delta Lake technologies, You will be responsible for data modelling, data structures and performance optimization in analytical data stores (lakehouse / data warehouse), You will implement and maintain data quality, data validation and monitoring mechanisms ensuring accuracy, consistency and reliability of processed data, You will collaborate closely with data analysts, BI developers and business stakeholders to translate business and regulatory requirements into robust technical solutions, You will contribute to architecture decisions related to data platforms, data processing patterns and technology choices, You will support and mentor junior data engineers, helping them grow their technical and consulting competencies, You will actively participate in client-facing work - discussing requirements, presenting solutions and explaining technical concepts in an accessible way, In addition to project work, you will keep up with latest data engineering, cloud and Anti Financial Crime trends and contribute to internal initiatives and accelerators. As FCU Technology, we provide innovative technological solutions, data analytics and consulting services for global PwC clients, responding to key challenges in the area of Anti Financial Crime (Anti Money Laundering, Combating Terrorism Financing, Transaction Monitoring, Fraud Risk Management, FATCA and implementation of financial sanctions, etc.).