Senior Data Engineer (Microsoft Fabric)

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

Design, implement, and maintain Azure-based data pipelines for ingestion, processing, and transformation to support modeling data layers and reliable workflows. Ingest data sources, perform feature engineering, and create/maintain solutions using Azure Data Factory, Synapse, and Fabric. Apply data validation and cleansing to ensure quality and integrity, improve scalability and cost-effectiveness, and monitor/resolve pipeline issues to keep data consistent and available.

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FursaFursa
Endava Technology
Endava Technology
1 month ago

Senior Data Engineer (Microsoft Fabric)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design, implement, and maintain Azure-based data pipelines for ingestion, processing, and transformation to support modeling data layers and reliable workflows. Ingest data sources, perform feature engineering, and create/maintain solutions using Azure Data Factory, Synapse, and Fabric. Apply data validation and cleansing to ensure quality and integrity, improve scalability and cost-effectiveness, and monitor/resolve pipeline issues to keep data consistent and available.
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 create modeling data layers and integrate data into models/workflows
  • •Design, implement, and maintain data pipelines for data ingestion, processing, and transformation
  • •Create and maintain data solutions in Azure using Data Factory, Synapse, and Fabric
  • •Implement data validation and cleansing to ensure quality, integrity, and dependability
  • •Monitor and resolve data pipeline problems to maintain consistency and availability

Key Requirements

  • •Good Python skills
  • •Knowledge of data design principles (Kimball, Star Schema), data warehousing, 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
Languages:English
Tech Stack:PythonAzureAzure Data FactorySynapseFabricETLELTKimballStar Schema

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