Senior Data Engineer

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.

We are looking for:

Senior Data Engineer 

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 3 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,
• 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, 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 wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, 
• 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 quick conversation with our Recruiter on a short HR screening call,
• Get to know each other better during an interview with the Recruiter and Hiring Manager.