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Data Solutions Engineer Job Opening In Warsaw – Now Hiring PwC


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


    • Job Details

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    Unlock Your Data Solutions Potential: Insight & Career Growth Guide


    Real-time Data Solutions Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Solutions in Warsaw, Poland, highlighting market share and opportunities for professionals in Data Solutions roles.

    1770 Jobs in Poland
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    758 Jobs in Warsaw
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    Download Data Solutions Jobs Trends in Warsaw and Poland

    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.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    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. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Poland laws and regulations

    What Is the Average Salary Range for Data Solutions Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Warsaw. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Solutions Engineer?

    Key qualifications for Data Solutions Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Solutions Engineer Job Success

    PwC interview tips for Data Solutions Engineer

    Here are some tips to help you prepare for and ace your Data Solutions Engineer job interview:

    Before the Interview:

    Research: Learn about the PwC's mission, values, products, and the specific job requirements and get further information about

    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.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Final Thought:

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