Senior Data Engineer (Microsoft Fabric)

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

Design and deliver Azure-based data pipelines that ingest sources, transform data, and create modeling data layers to support downstream workflows. Own solution design and maintenance across ingestion, processing, and transformation, using Azure services such as Data Factory, Synapse, and Fabric. Implement data validation/cleansing, improve scalability and cost-efficiency, and monitor/resolve pipeline issues to ensure consistency and availability of data.

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FursaFursa
Endava Technology
Endava Technology
1 month ago

Senior Data Engineer (Microsoft Fabric)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design and deliver Azure-based data pipelines that ingest sources, transform data, and create modeling data layers to support downstream workflows. Own solution design and maintenance across ingestion, processing, and transformation, using Azure services such as Data Factory, Synapse, and Fabric. Implement data validation/cleansing, improve scalability and cost-efficiency, and monitor/resolve pipeline issues to ensure consistency and availability of data.
Location: Bucharest
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 create modeling data layers and integrate data into models/workflows.
  • •Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and other technologies.
  • •Create and maintain data solutions in Azure using Data Factory, Synapse, and Fabric.
  • •Implement data validation and cleansing procedures to ensure data quality, integrity, and reliability.
  • •Monitor and resolve data pipeline problems to ensure consistency and availability of data.

Key Requirements

  • •Good Python skills.
  • •Knowledge of data design principles (e.g., Kimball and Star Schema) and data warehousing/data modeling concepts.
  • •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:PythonAzureData FactorySynapseFabricKimballStar SchemaETLELTRelational databasesNoSQLData warehousing

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