Offer summary

Qualifications:

Minimum 1 year of experience with MS Fabric and 2 years with Databricks, PySpark, and Python., Strong knowledge of Python software engineering, SQL, and Azure tools such as Azure Data Factory and ADLS., Experience with data engineering concepts like OLTP, OLAP, Data Lake, and Data Mesh., Good communication skills in English and Polish, with a team-oriented attitude..

Key responsibilities:

Design, build, and manage data solutions in Microsoft Fabric and Databricks environments.

Implement and maintain data pipelines and transformations using Python and PySpark.

Collaborate with team members and share knowledge to improve data engineering processes.

Ensure code quality through testing and adhere to delivery frameworks.

Job description

Job Description & Summary

The area of data engineering at PwC Poland plays a key role in all digital initiatives. That’s why our Data Solutions team is made up of experts who deeply understand both client and business needs. We specialize in building advanced data platforms, delivering data engineering services, and providing comprehensive analytics, integration, and visualization—both on-premises and in the cloud.

We are looking for:

Data Migration Developer

Your future role:

Design, build, and manage solution in Microsoft Fabric / Databricks environments,

Implement and maintain solutions in the Azure cloud, with a focus on tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, and Azure Databricks,

Leverage PySpark and develop scripts and applications in Python for data engineering purposes,

Ensure the quality of the code by writing unit / integration tests for delivered solutions,

Collaborate with the team and share knowledge with less experienced colleagues,

Adhere to the company's Delivery Excellence framework, contribute to ways of working and internal delivery guidelines.

Apply if you have:

Professional experience as a Data Engineer,

At least 1 years of hands-on experience with MS Fabric,

At least 2 years of hands-on experience with Databricks, PySpark, and Python for data engineering (e.g: usage of Pandas, SQL Alchemy),

Strong knowledge of Python software engineering (e.g: usage of FastAPI / Django and similar),

Strong knowledge of SQL,

Experience with Azure tools: Azure Data Factory, ADLS, SQL Server, Key Vault,

Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts,

Familiarity with at least one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue),

Experience with BI tools (Power BI, Tableau),

Practical knowledge of software testing,

Team player attitude, preferably with experience in an international environment,

Strong analytical skills,

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

Good command of English (C1 level),

Minimum communicative knowledge of Polish.

Nice to have:

Understanding of software engineering principles (PEP, DRY, SOLID, design patterns),

Familiarity with version control systems (GIT), Docker, and CI/CD (Azure DevOps),

Programming experience in Python, Java, or C#,

Experience with GenAI (prompt engineering, agents, Copilot, Cursor),

Knowledge of MLOps practices,

Certifications in Azure / AWS / Google Cloud (data engineering paths),

Databricks certification.

Project spotlight:

You will contribute to a strategic partnership with Microsoft to build a data product for market release, with a strong focus on data processing.

Key components include:

Designing and implementing a robust data ingestion pipeline,

Performing data transformations using notebooks, Python, and PySpark,

Emphasis on modern data engineering and data fabric concepts.

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 for volunteering 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:pl_ITrecruitment@pwc.com.

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