Senior Data Engineer | FCU Technology Team

The FCU Technology team at PwC Polska includes over 100 IT specialists. The team provides innovative technological solutions, data analytics, and consulting services for global PwC clients in the financial services industry, focusing on Anti Financial Crime areas such as Anti Money Laundering, Combating Terrorism Financing, Transaction Monitoring, Fraud Risk Management, FATCA, and implementation of financial sanctions.

• Master’s degree (preferably in Computer Science, Data Engineering, Mathematics, Statistics or similar)
• Commercial experience in data engineering, database development, or data platform roles
• Strong understanding of data engineering fundamentals: ETL/ELT, data warehousing, lakehouse architectures
• Hands-on experience with Databricks including building and maintaining Spark-based batch and/or streaming data pipelines, working with Delta Lake (ACID tables, schema evolution, incremental processing, merges), optimizing performance (partitioning, file compaction, query optimization), and developing pipelines using Databricks notebooks, jobs, and workflows
• Very good knowledge of SQL (designing, writing, and optimizing complex queries)
• Experience with Python for data processing and transformations (e.g. pandas, PySpark)
• Solid understanding of data modelling, data quality, and data governance concepts
• Experience working with cloud-based data platforms (Azure preferred)
• Ability to gather and translate business requirements into technical solutions
• Excellent communication skills and ability to work with both technical and non-technical stakeholders
• Ability to work effectively under pressure while maintaining a high level of accuracy
• Fluent written and spoken English
• Willingness to work in international project teams

Nice to have:

• Experience with streaming data processing (e.g. Spark Structured Streaming)
• Knowledge of data governance or metadata tools (e.g. Collibra)
• Experience in financial services, AML / AFC or regulatory-driven environments
• Additional languages: German, Dutch or French

• Design, build and maintain scalable, reliable data pipelines and data platforms supporting analytical and reporting solutions
• Work on end-to-end data engineering solutions from data ingestion through transformation and storage to serving curated datasets for analytics and reporting
• Develop and optimize ETL / ELT pipelines using Databricks (Apache Spark, SQL, Python) and Delta Lake technologies
• Responsible for data modelling, data structures, and performance optimization in analytical data stores (lakehouse / data warehouse)
• Implement and maintain data quality, data validation, and monitoring mechanisms ensuring accuracy, consistency, and reliability of processed data
• Collaborate closely with data analysts, BI developers, and business stakeholders to translate business and regulatory requirements into robust technical solutions
• Contribute to architecture decisions related to data platforms, data processing patterns, and technology choices
• Support and mentor junior data engineers to help them grow their technical and consulting competencies
• Actively participate in client-facing work including discussing requirements, presenting solutions, and explaining technical concepts
• Keep up with latest data engineering, cloud, and Anti Financial Crime trends and contribute to internal initiatives and accelerators

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