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:.
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