Your future role:  

• Acting as a Data Engineering SME on client projects and internal initiatives, 
• Gathering business requirements regarding data products and addressing them with technical solutions, 
• Building cloud solutions with Microsoft Azure services, including Databricks, Data Lake Storage, Data Factory, Synapse, Cosmos DB and more, 
• Designing, implementing and monitoring cloud-based ETLs, 
• Supporting GenAI use cases with data pipelines and relevant data structures, e.g. vector databases,  
• Guiding junior team members and reviewing their code, 
• Regular communication with project stakeholders. 

Apply if you have:

• At least 2 years of relevant professional experience, 
• Working experience with cloud services for building high-performance data pipelines with Python, Spark and SQL, 
• Experience with processing large volumes of data, both structured and semi-structured, 
• Strong communication skills, 
• Min B2 in English, written and spoken, 
• Fluency in Polish for internal communication, 
• Good knowledge of Python and SQL, 
• Practical knowledge of version control in git, 
• Familiarity with Scrum or other agile PM methodologies, 
• Familiarity with Linux and bash scripting.

Nice to have:

• Experience with GenAI applications, both as a user and a developer, e.g. RAG or Co-pilot, 
• Familiarity with Data Governance topics: data quality assurance, data lineage, versioning, cataloging, privacy etc., 
• Solid understanding of data warehousing concepts and experience in data modeling. 

By joining us you gain: 

• Work flexibility – hybrid working model (min. 2 days in the office per week), 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 e.g. Data Engineering learning paths with MS Azure or Databricks and conversations with native speaker, 
• Wide medical and well-being program - a medical care package (incl. 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, insurance packages, 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: 

• Apply,  
• Have a conversation with our Recruiter on a short HR screening call, 
• Let's get to know each other better during an interview with the Recruiter and Hiring Manager.