Trwa ładowanie. Prosimy o chwilę cierpliwości.
Data aktualizacji: 2022-09-20
Data Solution Engineer
Nr ref. 279252WD
Warszawa, mazowieckie
IT, Konsulting, Inżynieria
Data aktualizacji: 2022-09-20 Aplikuj
PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

PwC IT Services is a great place to work for ambitious, open-minded and responsible people. We have been implementing the most innovative customer experience solutions for our clients since 2005. We are partners of the largest software providers in the world – Salesforce, Microsoft, Mulesoft and many more. We believe that our success comprises not only modern technologies we use but, above all, well trained, competent people. We are In Touch with Tomorrow helping our clients rise and develop faster.

Every IT solution is based on data, therefore the area of data management is key for all IT projects. The DATA Department at PwC IT Services is a group of specialists with deep understanding of business needs of our customers allowing the solutions we design to fully meet the expectations of all users. 

We design Data Warehouses, configure Reporting Systems, plan and execute Data Migration processes for companies from various industry sectors. 

Our engineers take care of Data Quality, optimize SQL and procedural code regardless of the technology and define flows in ETL/ELT processes

Analysts and Data Architects develop an enterprise-wide approach to data and data related issues.

Data Solution Engineer

Job description:

  • Data migration strategy and approach definition for large volume, multiple data sources,

  • Leveraging data extract, transform and load (ETL) technologies to accelerate development of data flows,

  • Analysis of data models of source and target systems,

  • Implementation and design of ETL processes,

  • Conducting analysis of source system data with client stakeholders and source system owners to determine a) capacity to meet reporting needs and b) specific transformation rules that need to be applied,

  • Determining how tables relate to each other and how fields interact within the tables for relational & dimensional data models,

  • Data quality verification and assurance.


Candidate profile:

  • Data Migration experience in at least two projects allowing to leverage knowledge for future engagement,

  • Professional experience in design and implementation of ETL solutions,

  • Very good knowledge of procedural SQL languages ​​(T-SQL, PL / SQL),

  • Proficient knowledge of relational databases (in particular MS SQL Server, Oracle),

  • Very good knowledge of at least one ETL tool (in particular: Informatica, Microsoft SSIS, Talend OS, IBM DataStage, ODI),

  • Knowledge of data warehouse models,

  • Strong analytical skills,

  • Very good communication skills (both oral and written communication),

  • Team player,

  • Good command of English (C1 level).


Highly appreciated:

  • Experience with Azure Data Factory, Azure Databricks,

  • Experience with Business Intelligence systems,

  • Experience with Master Data Management and Data Quality systems,

  • Knowledge of statistical packages,

  • BigData projects experience,

  • Knowledge of programming or script languages.


Our offer:

Great job in an even greater team and in the package:

  • Opportunity to develop competences and gain experience in the development of IT systems for the largest Polish and European companies.

  • An interesting job in a group of professionals with many years of experience in international companies.

  • Long term, stable cooperation.

  • Long list of benefits (private health care, multisport, life insurance and more).

  • Different career paths to choose from, trainings and development programs.

  • Friendly work atmosphere of a technology company.


Send your application today! In case you have any additional questions, contact us:

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