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Bratislava, Slovensko
Onsite
Job Description & Summary
Location: Bratislava, Košice (Hybrid) — Engage with global teams across Western Europe and the USA
Team: Advanced Technology Solutions (ATS) - AI Security Consulting at PwC
Join PwC's pioneering data & AI team and help build the data foundations behind impactful AI solutions. We're growing quickly due to a strong pipeline of client work.
Python is the core skill we expect. Depending on your strengths, you may focus on pipelines, platforms, SQL, or designing scalable data solutions. Many roles also include "full-solver" flexibility — contributing where needed, including automation, integration work, or enabling AI/GenAI use cases on modern platforms (including Microsoft technologies where relevant).
Build the Backbone of AI Solutions: Design and maintain scalable data pipelines and ETL/ELT processes using Python and PySpark — ingesting and transforming data from sensor streams, satellite imagery, and unstructured documents into analytics and ML platforms.
Design Data That Scales: Build data models (star/snowflake), warehouses, and lakes that support everything from GenAI dashboards to anomaly detection and real-time industrial optimization.
Enable Machine Learning: Partner with data scientists to deliver clean, production-ready datasets for NLP, computer vision, and predictive analytics use cases.
Make It Fast, Keep It Reliable: Optimize jobs and SQL queries for performance and cost; monitor pipelines in production and ensure reliability and SLA adherence.
Work Directly With Clients: Collaborate with clients in Western Europe and the USA across industries (pharma, energy, agriculture, finance) to translate business needs into technical designs.
Guard Data Quality & Security: Implement validation frameworks, governance standards, and ensure compliance with privacy and security requirements.
Stay current & mentor: Keep up with data engineering and cloud trends; support junior team members through code reviews and hands-on guidance.
Python (required): Strong skills with pandas, PySpark, SQLAlchemy, Airflow-like tools. Clean, testable code is a must.
Data Pipelines: Hands-on experience with Spark (PySpark) or similar distributed frameworks, plus ETL/ELT workflow design.
ML Awareness: Understanding of preprocessing needs for ML — missing values, encoding, normalization, feature extraction.
Database: Proficiency in SQL (schema design, complex queries, optimization). NoSQL (MongoDB, Cassandra, Cosmos DB) a plus.
Cloud & Big Data (Nice to Have): Azure (Synapse, Databricks, Data Factory, Data Lake) or AWS/GCP equivalents.
Professional Background: At least 2 years of professional experience in data engineering, BI engineering, or similar data-focused roles.
Analytical Thinking: Strong analytical mindset with the ability to understand complex data landscapes, debug data issues, and design logical, efficient data flows.
Language Skills: English at B2 level or higher.
Natural Language Data Exploration: Develop dashboards powered by GenAI for intuitive business data analysis.
Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents.
Knowledge Assistant: Implement ERP transformation with GenAI tools to resolve employee inquiries efficiently.
Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale.
Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers.
Sample solution: https://urbanheatreport.sk.pwc.com/
Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
Team profile: https://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze
Thought leadership: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Salary: starting from 2000 - 3400 EUR/month (For candidates with demonstrated experience the salary is negotiable based on experience and proven seniority.)
Contract type: Full-time
Start date: By agreement
Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.
Career Development: Engage in tailored internal and external training programs as well as structured career development plan.
Health & Well-being: Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
Supportive Culture: Participate in team building activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
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