15 days ago
Warsaw, Poland +2 moreMid Level
Responsibilities
- Build data platforms including data lakehouses, data warehouses and data lakes using Microsoft Fabric, Databricks and Azure Data Factory.
- Define data flows from raw ingestion through business-ready consumption using data architecture patterns such as medallion and lambda architectures.
- Design migration plans for transactional and master data moving from legacy systems to target solutions.
- Conduct data assessments across systems of record and data domains to identify and remediate data quality issues.
- Collaborate with senior client stakeholders and support Senior Data Architects with requirements gathering and modern data architecture design.
- Develop data transformation scripts using Python, PySpark and SQL.
- Support data engineering CI/CD practices and release management across Development, QA and Production environments.
Requirements
- At least 3 years of experience in Data Engineering or relevant areas such as Business Intelligence or Data Science.
- Hands-on experience with data transformation platforms, preferably Microsoft Fabric and Databricks, with experience in Snowflake, Azure Synapse or Google BigQuery valued.
- Experience building data warehouses, data lakes and data lakehouses using Azure Data Factory and Azure Synapse Analytics.
- Experience with Python, PySpark and SQL for data transformation and database querying.
- Experience with data engineering CI/CD practices and release management using Azure DevOps and/or Jira.
- Polish and Business English proficiency at B2 level or above, including technical documentation skills.
- Experience using new technologies and AI-based tools for activities such as task automation, information analysis and content creation.
- Preferred qualifications include Azure, AWS or Google Cloud certifications; Kimball dimensional modeling; data assessments across Product and Customer domains; ERP and CRM systems; and exposure to Machine Learning and Generative AI business use cases.
- Initial experience or interest in agentic AI solutions using Azure AI Foundry, Databricks Genie or Snowflake Cortex is desirable.
Benefits
- Hybrid working model with a minimum of 2 days in the office per week, flexible start times, workation and sabbatical leave.
- Onboarding support, mentoring, training sessions, workshops and native-speaker conversations.
- Medical care, physiotherapy, dental discounts, coaching, mindfulness sessions, psychological support and related well-being services.
- Individual benefits package options including lunch pass, insurance, concierge, veterinary and massage packages, plus cafeteria access and discounts on IT equipment and car purchases.
- Three paid volunteering hours per month and an additional paid birthday day off.
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.