Microsoft Fabric Data Engineer

Cognizant; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

Cognizant is seeking an experienced Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions that enable enterprise reporting, analytics, and BI initiatives. You will create end-to-end data pipelines and analytics-ready datasets, ensuring reliability, governance, and high performance within an Agile environment.

The role emphasizes collaboration with business stakeholders, analysts, and technical teams, delivering value through scalable, well-governed data platforms

Qualifications

• Experience delivering data engineering solutions using Microsoft Fabric.
• Strong expertise in data pipelines, dataflows, lakehouse and warehouse architecture.
• Advanced SQL skills and Python and Spark for data transformation.
• Experience with Azure data services including Data Factory, Synapse and Data Lake.
• Ability to deliver high-quality solutions within Agile delivery teams.

Responsibilities

• Design, develop, and maintain data solutions using Microsoft Fabric.
• Build and optimize end-to-end data ingestion, transformation, and delivery pipelines.
• Develop and manage Fabric Dataflows, Lakehouses, and Warehouses.
• Create analytics-ready datasets to support reporting and business insights.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Ensure data quality, governance, and accessibility across the platform.
• Optimize platform performance, scalability, and cost efficiency.
• Participate in Agile ceremonies and drive continuous improvement.

Skills

Microsoft Fabric

Data Pipelines

ETL/ELT

Data Modeling

SQL

Python

Spark

Azure Data Factory

Azure Synapse

Azure Data Lake

Agile

Tools

Microsoft Fabric

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake

Job description

We are seeking an experienced Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives.
Working closely with business stakeholders, analysts, and technical teams, you will develop end-to-end data pipelines and analytics-ready datasets using Microsoft Fabric. You will play a key role in ensuring data solutions are reliable, secure, high-performing, and aligned with governance standards while delivering value within an Agile environment.

Key Responsibilities

• Design, develop, and maintain data solutions using Microsoft Fabric.
• Build and optimize end-to-end data ingestion, transformation, and delivery pipelines.
• Develop and manage Fabric Dataflows, Lakehouses, and Warehouses.
• Create analytics-ready datasets that support reporting and business insights.
• Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
• Ensure data quality, reliability, governance, and accessibility across the platform.
• Optimize platform performance, scalability, and cost efficiency.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.
  

Required Experience & Skills

• Proven experience delivering data engineering solutions using Microsoft Fabric.
• Strong expertise in:
  • Data Pipelines, Dataflows, Lakehouse, and Warehouse architecture
  • ETL/ELT design and implementation
  • Data modelling, including dimensional modelling and star schema design
  • Large-scale data processing and analytics environments
• Advanced SQL skills and experience with Python and Spark for data transformation.
• Experience with Azure data services, including:
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Ability to deliver high-quality solutions within Agile delivery teams.
  

Preferred Qualifications

• Experience within financial services or other regulated industries.
• Knowledge of data governance, security, and performance optimization best practices.
• Microsoft Fabric or Azure data certifications.
  

What We're Looking For

A hands-on Data Engineer who combines strong technical expertise with a business-focused mindset. You are passionate about building scalable, well-governed data solutions and have a proven ability to deliver reliable, high-quality outcomes in fast-paced Agile environments.
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