Senior Data Engineer (Microsoft Fabric)

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

Design and build end-to-end data pipelines that ingest sources, perform feature engineering, and create modeling-ready data layers. Implement solutions in Azure using services such as Data Factory, Synapse, and Microsoft Fabric, integrating data into models and workflows. Apply data validation and cleansing for reliable datasets, improve scalability and cost-efficiency, and monitor/resolve pipeline issues to maintain data consistency and availability.

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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: 7 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design and build end-to-end data pipelines that ingest sources, perform feature engineering, and create modeling-ready data layers. Implement solutions in Azure using services such as Data Factory, Synapse, and Microsoft Fabric, integrating data into models and workflows. Apply data validation and cleansing for reliable datasets, improve scalability and cost-efficiency, and monitor/resolve pipeline issues to maintain data consistency and availability.
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 creation of modeling data layers and integration 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 dependability.
  • •Monitor and resolve data pipeline problems, ensuring consistency and availability of data.

Key Requirements

  • •Good Python skills.
  • •Knowledge of data design principles such as Kimball and Star Schema, plus data warehousing and data modeling concepts.
  • •Strong experience with relational databases and ideally NoSQL databases.
  • •Strong understanding of ETL/ELT processes.
  • •Exposure to data monitoring and observability tools.
Languages:English
Tech Stack:PythonAzureData FactorySynapseFabricETLELTKimballStar SchemaData warehousingRelational databasesNoSQL databases

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