Endava Technology

1 day 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: 2 hours agoStatus: Live

Job Summary

Design and build data pipelines that ingest sources, transform data, and create modeling data layers in Azure. You’ll implement solutions using services such as Data Factory, Synapse, and Microsoft Fabric, ensuring reliable ETL/ELT workflows through validation, cleansing, and monitoring. Improve the scalability, efficiency, and cost-effectiveness of data processing while resolving pipeline issues to maintain consistent and available data for downstream models and workflows.

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 modeling data layers and integrate data into models/workflows.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation.
•Create and maintain data solutions in Azure using Data Factory, Synapse, and Microsoft Fabric.
•Implement data validation and cleansing 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 FactorySynapseFabricETLELTRelational databasesNoSQLKimballStar 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Endava Technology

1 day 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: 2 hours agoStatus: Live

Job Summary

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 modeling data layers and integrate data into models/workflows.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation.
•Create and maintain data solutions in Azure using Data Factory, Synapse, and Microsoft Fabric.
•Implement data validation and cleansing 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 FactorySynapseFabricETLELTRelational databasesNoSQLKimballStar Schema

Company Brief

Endava Technology

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

Website LinkedIn