Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
intive

Senior Data Engineer – Contractor

intive

. Build and manage robust data pipelines, storage solutions, and data refresh processes across Microsoft Fabric and AWS to support analytics and reporting .

Posted 9/22/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and managing data pipelines and storage solutions using Microsoft Fabric and AWS, with a strong focus on data quality, documentation, and collaboration with stakeholders. Proficient in dbt model development and Kimball dimensional modeling to support analytics and reporting.

Highest-signal resume keywords
Data Pipeline DevelopmentDbt Model LayeringSQL ProficiencyKimball Dimensional ModellingAWS Data Services Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringData Quality MonitoringData Modelling StandardsAutomated ValidationRoot-Cause AnalysisData Refresh ProcessesSemantic Models for Power BITesting and Freshness ChecksDocumentation of Data PipelinesVersion Control Practices
Soft Skills
Communication with Stakeholders
Tools & Technologies
Microsoft FabricAWSPower BIDbt
Industry Keywords
Data AnalyticsCloud Data EngineeringOperational SupportTroubleshootingBusiness Intelligence

Tech Stack

Tools & technologies
AWSCloudSQL

About the role

Key responsibilities & impact
  • Build and manage robust data pipelines, storage solutions, and data refresh processes across Microsoft Fabric and AWS to support analytics and reporting
  • Develop dbt models across source, staging, intermediate, and mart layers, incorporating reusable business logic, facts, dimensions, testing, freshness checks, documentation, lineage, and exposures
  • Create reliable and high-performing datasets and semantic models for Power BI and self-service analytics
  • Develop and maintain data modelling standards covering Kimball dimensional modelling, consistent business keys, conformed dimensions, and clearly defined entities
  • Maintain data quality through automated validation, monitoring, alerting, and root-cause analysis
  • Keep comprehensive documentation covering data pipelines, datasets, definitions, assumptions, lineage, and runbooks
  • Support secure and governed access to data while applying engineering best practices such as version control, code reviews, environment separation, and controlled releases
  • Collaborate with technical and non-technical stakeholders

Requirements

What you’ll need
  • Experience as a Data Engineer or Analytics Engineer delivering reliable pipelines and curated datasets for BI
  • Strong and practical experience with dbt, including model layering, tests, sources, freshness, documentation, lineage, exposures, and safe model change practices
  • Strong SQL experience
  • Kimball dimensional modelling skills
  • Experience with AWS data services and cloud data engineering patterns
  • Experience with Microsoft Fabric, including Lakehouse and Warehouse
  • Experience with data quality, monitoring, operational support, and troubleshooting
  • Good communication with technical and non-technical stakeholders