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Urgent! Data Solutions Engineer Job Opening In Warsaw – Now Hiring PwC

Data Solutions Engineer



Job description

Description

& Summary

The area of data engineering atPwC Poland plays a key role in alldigitalinitiatives.

That’swhyour Data Solutions team ismadeup of expertswhodeeplyunderstandbothclient and business needs.

We specialize in buildingadvanced data platforms, delivering data engineering services, and providingcomprehensiveanalytics, integration, and visualization—both on-premises and in the cloud.

We are looking for:

Data Solutions Engineer

Your future role:

  • Design, build, and managesolution in Microsoft Fabric / Databricksenvironments,
  • Implement and maintainsolutions in the Azurecloud, with a focus on toolssuch as Azure Data Factory, AzureSynapse, Microsoft Fabric, and AzureDatabricks,
  • LeveragePySpark and develop scripts and applications in Python for data engineering purposes,
  • Ensure the quality of the code by writing unit / integrationtests for deliveredsolutions,
  • Collaborate with the team and shareknowledge with less experiencedcolleagues,
  • Adhere to the company's Delivery Excellence framework, contribute to ways of working and internaldeliveryguidelines.
  • Apply if you have:

  • Professional experience as a Data Engineer,
  • At least 1 years of hands-onexperience with MS Fabric,
  • At least 2 years of hands-onexperience with Databricks, PySpark, and Python for data engineering (e.g: usage of Pandas, SQL Alchemy),
  • Strongknowledge of Python software engineering (e.g: usage of FastAPI / Django and similar),
  • Strongknowledge of SQL,
  • Experience with Azuretools: Azure Data Factory, ADLS, SQL Server, KeyVault,
  • Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts,
  • Familiarity with atleast one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue),
  • Experience with BI tools (Power BI, Tableau),
  • Practicalknowledge of software testing,
  • Team playerattitude, preferably with experience in aninternational environment,
  • Stronganalyticalskills,
  • Verygoodcommunicationskills (bothoral and writtencommunication), 
  • Good command of English (C1 level),
  • Minimum communicativeknowledge of Polish.
  • Nice to have:

  • Understanding of software engineering principles (PEP, DRY, SOLID, design patterns),
  • Familiarity with version controlsystems (GIT), Docker, and CI/CD (AzureDevOps),
  • Programming experience in Python, Java, or C#,
  • Experience with GenAI (prompt engineering, agents, Copilot, Cursor),
  • Knowledge of MLOpspractices,
  • Certifications in Azure / AWS / Google Cloud (data engineering paths),
  • Databrickscertification.
  • Project spotlight:

    You willcontribute to a strategicpartnership with Microsoft to build a data product for market release, with a strongfocus on data processing.

    Key componentsinclude:

  • Designing and implementing a robust data ingestionpipeline,
  • Performing data transformationsusingnotebooks, Python, and PySpark,
  • Emphasis on modern data engineering and data fabricconcepts.
  • By joining us you gain:

  • Work flexibility - hybrid working model, flexible start of the day, workation, 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.

    freedom of treatment, 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, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 
  • 3 paid hours forvolunteering 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.
  • Send your application today! In case you have any additional questions, contact us:.

    Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - ().

    If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted.

    Full information about processing your personal data is available in the .

    #LI-ES1 #LI-Remote


    Required Skill Profession

    Computer Occupations



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      Unlock Your Data Solutions Potential: Insight & Career Growth Guide


    • Real-time Data Solutions Jobs Trends in Warsaw, Poland (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Solutions in Warsaw, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1803 jobs in Poland and 758 jobs in Warsaw. This comprehensive analysis highlights market share and opportunities for professionals in Data Solutions roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Data Solutions Engineer Job?

      Great news! is currently hiring and seeking a Data Solutions Engineer to join their team. Feel free to download the job details.

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      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying Poland laws and regulations
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    • Interview Tips for Data Solutions Engineer Job Success
      PwC interview tips for Data Solutions Engineer

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      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
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      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
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      Final Thought:

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