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) 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. 

• 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.

Recruitment process: 

• Complete the form and send your resume, 
• Talk to our Recruiter on a short HR screening call, 
• Get to know each other better at a recruitment interview!