Cloud Data Engineer

PwC Poland’s Cloud & Digital team provides services in Cloud Computing, Cloud Strategy, Cloud Migrations, Data Analytics, and DevOps. They support clients in cloud infrastructure adoption, new business model creation, and operational streamlining.

• Minimum 3 years in data engineering or related experience (Business Intelligence, Data Science)
• Hands-on experience with data transformation tools such as Databricks, Snowflake, BigQuery, MS Fabric
• Experience building data warehouses, data lakes, and lakehouses using Azure Data Factory and Azure Synapse Analytics
• Familiarity with Python (PySpark) and SQL for data transformation and querying
• Experience with Data Engineering CI/CD practices and release management using Azure DevOps and/or Jira
• Proficiency in Business English at B2 level or above, including technical documentation writing
• Experience with new technologies and AI-based tools for task automation, information analysis, and content creation

Nice to have:

• Cloud certifications in Azure, AWS, or Google Cloud
• Data Governance certifications such as DAMA
• Training from online platforms like Coursera, Udemy, Datacamp
• Application of data modelling frameworks including Kimball dimensional modelling
• Experience experimenting with Agentic AI for ETL automation using services like Azure Foundry
• Proven experience conducting data assessments across multiple data domains and systems of record (ERPs, CRMs)
• Experience in Data Strategy and Governance projects focused on Data Quality improvement
• Familiarity with agile methodologies like Scrum
• Exposure to Data Science and Analytics use cases involving Machine Learning and Generative AI
• Experience supporting senior stakeholders including Chief Data Officers in medium to large businesses in Manufacturing, Consumer Goods, or Financial Services

• Build data platforms including data warehouses and data lakes using Azure Databricks, MS Fabric, and Azure Data Factory
• Define data flow through data platforms using medallion architecture
• Design migration plans for moving transactional and master data from legacy systems to new solutions
• Conduct data assessments with Data Modelers and Analysts to identify and remediate data quality issues
• Liaise with client senior stakeholders and support Senior Data Architects to gather functional requirements for modern data architecture design
• Support Data Governance experts to define data standards and policies, especially around Master Data Management and Data Quality
• Familiarize with Data Science and Data Analytics use cases in Consumer Goods, Retail, Manufacturing, and Financial Service sectors