Job Title
Data Solutions Engineer at PwC Polska.
About
The area of data engineering at PwC Poland plays a key role in all digital initiatives. Our Data Solutions team is made up of experts who deeply understand both client and business needs. We specialise in building advanced data platforms, delivering data engineering services, and providing comprehensive analytics, integration, and visualisation—both on‑premises and in the cloud.
Responsibilities
- Design, build, and manage solutions in Microsoft Fabric / Databricks environments.
- Implement and maintain solutions in the Azure cloud, focusing 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 code quality 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 and contribute to ways of working and internal delivery guidelines.
Qualifications
- Professional experience as a Data Engineer.
- At least 1 year of hands‑on experience with Microsoft Fabric.
- At least 2 years of hands‑on experience with Databricks, PySpark, and Python for data engineering (e.g. Pandas, SQLAlchemy).
- Strong knowledge of Python software engineering (e.g. FastAPI, Django).
- 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 (oral and written).
- Good command of English (C1 level) and fluent in Polish.
- 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.
Benefits
- Work flexibility – hybrid working model, flexible start of the day, workation, sabbatical leave.
- Development and upskilling – full support during onboarding, mentoring, training sessions, workshops, certification co‑financed by PwC.
- Wide medical and well‑being programme – medical care package (incl. freedom of treatment, physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, webinars, workshops, financial and legal advice.
- Possibility to create an individual benefits package (e.g. lunch pass, concierge, veterinary package for a pet, massages) and access to a cafeteria with vouchers and discounts on IT equipment and car purchase.
- 3 paid hours for volunteering per month.
- Additional paid birthday day off.
- Referral programme – recommend a friend to work with us.
Recruitment Process
- Complete the form and send your resume.
- Talk to our Recruiter on a short HR screening call.
- Have a recruitment interview.
Contact
Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com.
EEO Statement
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 – (list of entities). 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 Privacy Policy.
Job Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Business Consulting and Services
