Hybrid Cloud Data Engineer — Azure Data Platform

PwC Polska; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Training and certifications support

Medical and well-being program

Job summary

PwC Polska is seeking a Cloud Data Engineer to join a cloud and digital team. You will build data platforms using Azure Databricks, MS Fabric and Azure Data Factory, shaping data from ingestion to semantic layer with medallion architecture.

You will migrate data from legacy systems, assess data quality with modelers and analysts, and support governance and MDM initiatives across multiple domains.

Qualifications

• Minimum of 3 years in data engineering roles or related fields.
• Hands-on experience with data transformation tools and cloud platforms.
• Experience building data warehouses, data lakes or data lakehouses.
• Proficiency in Python (PySpark) and SQL for data queries.
• Knowledge of CI/CD practices for data engineering workflows.

Responsibilities

• Build data platforms with data warehouses and lakes using Azure tools.
• Define data flow from ingestion to semantic presentation using medallion architecture.
• Design migration plans from legacy to reference data systems.
• Assess data quality with data modelers and analysts across domains.
• Collaborate with stakeholders to capture requirements for modern data architecture.
• Support data governance, master data management and data quality initiatives.

Skills

Cloud Data Engineering

Databricks

SQL

Python/PySpark

Data Warehouses/Lakes

English communication

CI/CD in Data Eng

Tools

Azure Databricks

MS Fabric

Azure Data Factory

Azure Synapse Analytics

Snowflake

BigQuery

Azure DevOps

Jira

Job description

PwC Polska is seeking a Cloud Data Engineer to join a cloud and digital team. You will build data platforms using Azure Databricks, MS Fabric and Azure Data Factory, shaping data from ingestion to semantic layer with medallion architecture.

You will migrate data from legacy systems, assess data quality with modelers and analysts, and support governance and MDM initiatives across multiple domains.