Senior Data Engineer (Microsoft Fabric)

Endava Technology
Romania
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: []

Design and deliver data ingestion and transformation pipelines that power modeling data layers. Create data solutions in Azure using services like Data Factory, Synapse, and Fabric, ensuring data validation, cleansing, and high-quality outputs. Build scalable, efficient, and cost-effective workflows, while monitoring and resolving pipeline issues to maintain consistent availability of data for downstream models and analytics.

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FursaFursa
Endava Technology
Endava Technology
2 days ago

Senior Data Engineer (Microsoft Fabric)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design and deliver data ingestion and transformation pipelines that power modeling data layers. Create data solutions in Azure using services like Data Factory, Synapse, and Fabric, ensuring data validation, cleansing, and high-quality outputs. Build scalable, efficient, and cost-effective workflows, while monitoring and resolving pipeline issues to maintain consistent availability of data for downstream models and analytics.
Location: Romania
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Ingest data sources and perform feature engineering to support modeling data layers.
  • •Design, implement, and maintain data pipelines for ingestion, processing, and transformation.
  • •Create and maintain Azure data solutions using Data Factory, Synapse, and Fabric.
  • •Implement data validation and cleansing to ensure data quality and integrity.
  • •Monitor and resolve pipeline issues to maintain consistency and availability of data.

Key Requirements

  • •Good Python skills.
  • •Knowledge of data design principles (Kimball, Star Schema) and data warehousing concepts with data modeling.
  • •Strong experience with relational databases and ideally NoSQL databases.
  • •Strong understanding of ETL/ELT processes.
  • •Experience with data monitoring and observability tools.
Languages:English
Tech Stack:PythonAzureAzure Data FactorySynapseMicrosoft FabricKimballStar SchemaETLELTNoSQLRelational databasesData validationData cleansingData observabilityCloud services

Company Brief

Endava Technology
Provides IT services and digital engineering, delivering software development, automation, and consulting to enterprises across financial services, payments, telecommunications, and retail to accelerate digital transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
WebsiteLinkedIn