Senior Data Engineer | FCU Technology Team

PwC Polska; Katowice; On-site; PLN 167,400 - 279,000; Full time

Benefits offered by this job

Work flexibility

Development and upskilling

Wide medical and well-being program

Individual benefits package

Paid volunteering hours

Additional birthday day off

Job summary

A leading consultancy firm in Poland seeks a Senior Data Engineer to join their FCU Technology Team. The ideal candidate will design and maintain scalable data pipelines and platforms, develop ETL solutions using Databricks, and collaborate with cross-functional teams. You will ensure data quality while mentoring junior engineers. This role primarily offers a hybrid work model with a wide range of professional development opportunities.

Qualifications

• Master’s degree (preferably in Computer Science, Data Engineering, Mathematics, Statistics or similar).
• Commercial experience in data engineering or database development.
• Strong understanding of ETL/ELT, data warehousing and lakehouse architectures.
• Hands-on experience with Databricks and Delta Lake technologies.
• Very good knowledge of SQL and experience with Python for data processing.
• Understanding of data quality and data governance concepts.
• Experience working with cloud-based data platforms.
• Fluent in written and spoken English.

Responsibilities

• Design, build and maintain data pipelines and platforms.
• Develop and optimize ETL/ELT pipelines using Databricks.
• Implement data quality and validation mechanisms.
• Collaborate with data analysts and stakeholders to meet requirements.
• Support and mentor junior data engineers.
• Participate in client-facing work.

Skills

Data engineering fundamentals

ETL/ELT experience

SQL

Python

Data modelling

Communication skills

Education

Master’s degree in Computer Science, Data Engineering, etc.

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.

Qualifications

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.

Benefits

• 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 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.

Recruitment process

• CV verification,
• HC screening phone call,
• Interview 1,
• Interview 2 (technical).

Contact us: [e-mail]. Please note that we do not collect resumes in our inbox.

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