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Microsoft Fabric Data Engineer
Krakow, Krakow, Poland
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild and optimize end-to-end ingestion, transformation, and delivery pipelines
Create analytics-ready datasets that support reporting and business insights
Ensure data quality, reliability, governance, and accessibility across the platform
From the employer’s posting
Build and optimize end-to-end data ingestion, transformation, and delivery pipelines.
Create analytics-ready datasets that support reporting and business insights.
Ensure data quality, reliability, governance, and accessibility across the platform.
What you’ll bring
All qualificationsCore experience
- Strong ETL/ELT design and implementation and data modelling, including star schema
- Advanced SQL, plus Python and Spark for data transformation
- Experience with Azure Data Factory, Azure Synapse Analytics and Azure Data Lake
- Strong analytical, troubleshooting, and problem-solving capabilities
Preferred experience
- Experience within financial services or other regulated industries.
- Knowledge of data governance, security, and performance optimization best practices.
Qualification wording
ETL/ELT design and implementation
Advanced SQL skills and experience with Python and Spark for data transformation.
Experience with Azure data services, including:
Strong analytical, troubleshooting, and problem-solving capabilities.
Experience within financial services or other regulated industries.
Knowledge of data governance, security, and performance optimization best practices.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Cognizant is hiring
139 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Spark
Where the posting names them
- 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
- Advanced SQL skills and experience with Python and Spark for data transformation. - Experience with Azure data services, including:- Azure Data Factory - Azure Synapse Analytics
- Experience with Azure data services, including:- Azure Data Factory - Azure Synapse Analytics - Azure Data Lake
- Azure Synapse Analytics - Azure Data Lake - Strong analytical, troubleshooting, and problem-solving capabilities.
- Knowledge of data governance, security, and performance optimization best practices. - Microsoft Fabric or Azure data certifications. What We're Looking For
Your next step
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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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- Pay
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- Location & working pattern
Krakow, Krakow, Poland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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