Senior Data Engineer (Microsoft Fabric)

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

Design and implement data pipelines for ingestion, processing, and transformation, supporting creation of modeling data layers and integrated data workflows. Build Azure-based data solutions using Data Factory, Synapse, and Fabric, applying data validation and cleansing to ensure quality and integrity. Monitor and resolve pipeline issues to maintain consistency and availability, while improving scalability, efficiency, and cost-effectiveness of data pipelines.

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FursaFursa
Endava Technology
Endava Technology
2 days ago

Senior Data Engineer (Microsoft Fabric)

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Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design and implement data pipelines for ingestion, processing, and transformation, supporting creation of modeling data layers and integrated data workflows. Build Azure-based data solutions using Data Factory, Synapse, and Fabric, applying data validation and cleansing to ensure quality and integrity. Monitor and resolve pipeline issues to maintain consistency and availability, while improving scalability, efficiency, and cost-effectiveness of data pipelines.
Location: Romania
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Ingest data sources and support feature engineering for modelling data layers and integrated model/workflow creation.
  • •Design, implement, and maintain data pipelines for ingestion, processing, and transformation.
  • •Create and maintain data solutions in Azure using Data Factory, Synapse, and Fabric.
  • •Implement data validation and cleansing to ensure data quality, integrity, and dependability.
  • •Monitor and resolve data pipeline problems to ensure scalability, consistency, availability, and cost-effectiveness.

Key Requirements

  • •Good Python skills.
  • •Knowledge of data design principles such as Kimball and Star Schema, plus data warehousing concepts and data modelling.
  • •Strong experience with relational databases and ideally NoSQL databases.
  • •Strong understanding of ETL/ELT processes.
  • •Exposure to data monitoring and observability tools.
Experience:Data engineering
Languages:English
Tech Stack:PythonAzureData FactorySynapseFabricETLELTRelational databasesNoSQLData pipelinesData validationData cleansingData monitoringObservability

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