Cloud Data Engineer — Data Platform & AI, Hybrid

PwC

Warszawa

Hybrid

PLN 180,000 - 240,000

Full time

12 days ago

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Benefits offered by this job

Work flexibility
Upskilling & Training
Medical & Wellbeing program
Individual benefits package
Volunteer hours
Birthday day off

Job summary

PwC in Warsaw is looking for a Cloud Data Engineer to join the Cloud & Digital team. You will build data platforms with data warehouses and data lakes using Azure Databricks, MS Fabric and Azure Data Factory, and define data flow from ingestion to semantic presentation.

You'll migrate data from legacy systems, conduct data quality assessments, and collaborate with data governance to define standards for Master Data Management.

Qualifications

  • Building data platforms with data warehouses and data lakes using Azure Databricks, MS Fabric, and Azure Data Factory for extraction, transformation and loading.
  • Defining the flow of data through data platform from ingestion to presentation at the semantic layer using medallion architecture.
  • Designing migration plans for moving transactional and master data from legacy systems to new solutions.
  • Conducting data assessments with Data Modelers and Analysts across systems to identify and remediate data quality issues.
  • Liaising with client senior stakeholders and supporting Senior Data Architects to design modern data architecture.
  • Supporting Data Governance to define data standards and policies around Master Data Management and Data Quality.
  • Familiarity with Data Science and Data Analytics use cases in Consumer Goods, Retail, Manufacturing and/or Financial Services will stand out.

Responsibilities

  • Building data platforms with data warehouses and data lakes using Azure Databricks, MS Fabric, and Azure Data Factory for extraction, transformation and loading.
  • Defining the flow of data through data platform from ingestion to presentation at the semantic layer using medallion architecture.
  • Designing migration plans for moving transactional and master data from legacy systems to new solutions.
  • Conducting comprehensive data assessments alongside Data Modelers and Analysts across multiple systems of record and data domains to identify and remediate data quality issues.
  • Liaising with client senior stakeholders and supporting Senior Data Architects to gather functional requirements to design modern data architecture.
  • Supporting Data Governance subject matter experts to define data standards and policies and specifically around Master Data Management and Data Quality.
  • Some familiarizations with Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors will stand out.

Skills

Azure Databricks
MS Fabric
Azure Data Factory
PySpark
SQL
Azure Synapse Analytics
Data Governance
English (B2)
Agile / Scrum
AI tools familiarity

Tools

Azure Databricks
MS Fabric
Azure Data Factory
Snowflake
BigQuery
Azure Synapse Analytics
Python (PySpark)
SQL
Azure DevOps
Jira

Job description

PwC in Warsaw is looking for a Cloud Data Engineer to join the Cloud & Digital team. You will build data platforms with data warehouses and data lakes using Azure Databricks, MS Fabric and Azure Data Factory, and define data flow from ingestion to semantic presentation.

You'll migrate data from legacy systems, conduct data quality assessments, and collaborate with data governance to define standards for Master Data Management.

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