In PwC Poland’s Digital& we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America, and Asia.
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.
Eligibility / Qualification Required:
- 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.
General Conditions:
What you gain by joining us:
- Work flexibility: Hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave.
- Development and upskilling: 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.
Personal Data Processing:
Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. 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.
How to Apply:
The recruitment process involves the following steps:
- 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.
For any queries, please contact us at
pl_ITrecruitment@pwc.com.
View Official Posting & Apply