Data Engineer | FCU Technology Team

PwC Polska; Województwo pomorskie; On-site; PLN 133,920 - 167,400; Full time

Benefits offered by this job

Flexible working model

Medical care package

Paid volunteering hours

Individual benefits package

Job summary

PwC Polska seeks a Senior Data Engineer for its FCU Technology Team. This role involves designing and maintaining scalable data pipelines while collaborating with data analysts to meet business needs.

The ideal candidate will possess a Master’s degree in a relevant field and hands-on experience with Databricks and data engineering fundamentals. The position allows for hybrid working flexibility and a commitment to ongoing development and well-being.

Qualifications

• Commercial experience in data engineering or database development.
• Strong understanding of ETL/ELT and data warehousing principles.
• Experience with data processing and transformations using Python.

Responsibilities

• Design and maintain data pipelines and platforms.
• Develop and optimize ETL / ELT pipelines using Databricks.
• Collaborate with data analysts and business stakeholders.

Skills

ETL/ELT

Data warehousing

Databricks

SQL

Python

Data modeling

Data governance

Cloud-based platforms

Education

Master’s degree in Computer Science or related field

Tools

Databricks

Azure

Job description

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.).

Senior Data Engineer in FCU Technology Team (remote)

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

Apply if you have:

• 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), 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

By joining us you gain:

• Work flexibility – hybrid working model, flexible start of the day, sabbatical leave
• Development and upskilling – 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 your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria – vouchers, discounts on IT equipment and car purchase
• 3 paid hours for volunteering per month
• Additional paid Birthday Day off
• And when you start enjoying PwC as much as we do, you may recommend your friend to work with us