Senior Data Engineer (Microsoft Fabric)

Endava Technology
Bucharest
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Data validation","Data cleansing","Data monitoring","Troubleshooting"]

Design, build, and maintain data pipelines that ingest sources, transform data, and support creation of modeling data layers. Create Azure-based data solutions using Data Factory, Synapse, and Fabric, including data validation and cleansing. Improve scalability, efficiency, and cost-effectiveness while monitoring pipelines, troubleshooting issues, and ensuring reliable data availability for downstream workflows and models.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Endava Technology
Endava Technology
2 days ago

Senior Data Engineer (Microsoft Fabric)

✓ Verified Job

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

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

Job Summary

Design, build, and maintain data pipelines that ingest sources, transform data, and support creation of modeling data layers. Create Azure-based data solutions using Data Factory, Synapse, and Fabric, including data validation and cleansing. Improve scalability, efficiency, and cost-effectiveness while monitoring pipelines, troubleshooting issues, and ensuring reliable data availability for downstream workflows and models.
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 support creation of modeling data layers and integrate data into models/workflows.
  • •Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and related technologies.
  • •Create and maintain Azure data solutions 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 to ensure consistency and availability of data.

Key Requirements

  • •Good Python skills.
  • •Knowledge of data design principles (Kimball, Star Schema) and data warehousing/data modelling concepts.
  • •Strong experience with relational databases and ideally NoSQL databases.
  • •Strong understanding of ETL/ELT processes.
  • •Experience with data monitoring and observability tools.
Experience:Data engineering
Skills:Data validationData cleansingData monitoringTroubleshooting
Languages:English
Tech Stack:PythonAzureData FactorySynapseFabricETLELTKimballStar SchemaRelational 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