Data Engineer

PwCO firmie

Rekrutacja zdalna

Rekrutacja zdalna

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Rekrutacja zdalna


Polna 11


PwC Advisory Financial Crime Unit (FCU) team provides services related to the international financial sector legislation, primarily for Financial Institutions from Western Europe and the United States. PwC Advisory Financial Crime Unit’s objective is to provide robust client due diligence checks related to various Anti Money Laundering (AML) procedures, such as Know Your Customer (KYC), Transaction Monitoring and FATCA.
Currently we are looking for experienced candidates for the position of:

Data Engineer

We are looking for candidates who are eager to work in the field of data engineering in a Big Data environment. Your role would be to join a long-term project for PwC US and work on developing and maintaining a data lake with consumer data with over 50 data sources and ca. 40TB total volume. Additionally, you will have a chance to join similar efforts for the polish market, which are in an early phase and are a great opportunity to implement your own ideas and show creativity.  

In PwC Data Analytics we aim at delivering end-to-end solutions by collaborating heavily with Business Experts from other teams in PwC (Strategy & Operations, Financial Services, Digital Transformation, etc.), Developers and professionals from IT.

Our team employs specialists in Machine Learning, Big Data solutions and architecture, statistics and its applications, as well as Deep Learning with various backgrounds (computer science, mathematics, physics, engineering and economy) and degree of seniority (from juniors with 1-2 years of experience to country leaders with over 10+ years on the market). 


  • Development of data lakes and data marts;
  • Designing, implementing and monitoring ETLs;
  • Integration of various data sources into concise data products;
  • Evaluation of new data vendors;
  • Migrating data processing to a cloud environment;
  • Data quality control;
  • Ad-hoc data extracts;
  • Writing documentation.

Candidate’s profile:

  • At least 3 years of professional experience;
  • Working experience with Hadoop ecosystem (Spark, Hive, YARN) or MS Azure (HDInsight, Databricks);
  • Good knowledge of Python;
  • Practical knowledge of version control in git;
  • At least intermediate knowledge of SQL;
  • Min B2 in English, written and spoken - it is a must because communication with main project stakeholders is in English;
  • Experience with analysis of large data sets;
  • Preferred faculties: Math, Computer Science, Physics, Operational Research or related;
  • Interest in Big Data and willingness to learn new tools and solutions;
  • Communication skills. 

Additional assets will be:

  • Working knowledge of Scala;
  • Familiarity with Linux and bash scripting;
  • Fair knowledge of algorithms and data structures.

We offer:

  • Working in an international team;
  • Flexible working hours and possible home office;
  • A broad offer of technical trainings and conferences;
  • Subsidized language courses;
  • Regular team building initiatives, including hackathons, parties and away-days;
  • Dynamic, project driven work environment;
  • Excellent working conditions and friendly working atmosphere;
  • Attractive compensation with additional benefits package.
If you are interested in this position, please send us your CV in English.

Administratorem danych osobowych przetwarzanych w ramach procesu rekrutacji jest PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k., lub inna spółka z sieci PwC, do której kierowana jest aplikacja - lista spółek: z siedzibą w Warszawie (00-633) przy ul. Polnej 11 (dalej jako: PwC lub administrator). Administrator będzie przetwarzał dane osobowe w celu przeprowadzenia rekrutacji na oferowane stanowisko. Po wyrażeniu odrębnej zgody, dane osobowe będą przetwarzane również w celu udziału w przyszłych rekrutacjach prowadzonych przez PwC oraz wysyłania powiadomień o ofertach pracy w PwC i o wydarzeniach związanych z pracą, które organizowane są przez PwC lub z udziałem PwC (np. targi pracy). Pełną informację o przetwarzaniu danych osobowych można znaleźć w Polityce Prywatności.

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