Job Description & Summary
The FCU Technology team at PwC Polska includes over 100 IT specialists. The financial services industry operates in a challenging environment due to global economic pressures increasing regulatory and capital requirements and significant operational and technological changes. 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.).
We are looking for:
Senior Data Engineer in FCU Technology Team (remote)
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.
Masters 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) 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.
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.
Work flexibility- hybrid working model flexible start of the day sabbatical leave
Development and upskilling- our full support during onboarding process mentoring from experienced colleagues training sessions workshops certification co/financed by PwC and conversations with native speaker
Wide medical and well-being program- a medical care package (incl. physiotherapy discounts on dental care) coaching mindfulness sessions psychological support education through dedicated webinars and workshops financial and legal advice
Possibility to create yourindividual benefits package(a.o. lunch pass insurance packages concierge veterinary package for a pet massages) andaccess to a cafeteria- vouchers discounts on IT equipment and car purchase
3 paid hours for volunteeringper month
Additional paidBirthday Day off
And when you start enjoying PwC as much as we do you may recommend your friend to work with us.
CV verification
HC screening phone call
Interview 1
Interview 2 (technical).
If you have additional questions please contact us:
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Required Experience:
Senior IC
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