Recent

Senior Data Engineer (Python, AWS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Data-focused role responsible for designing, implementing, and maintaining data pipelines and solutions across Azure, AWS, and GCP. Collaborates with data scientists and engineers to ensure data quality, scalability, and observability while optimizing cost and performance of data workflows in a mid-senior environment.

Location: Romania

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain data pipelines for data ingestion, processing, and transformation using cloud services and other technologies
•Create and maintain data solutions mostly in Azure, AWS or GCP and rarely on-premise (Sql Server, Oracle, PostgreSQL)
•Implement data validation and cleansing procedures to ensure data quality, integrity and dependability
•Improve the scalability, efficiency, and cost-effectiveness of data pipelines
•Monitor and resolve data pipeline problems to ensure data consistency and availability

Pay and Benefits

Perks:Hybrid WorkLearning PlatformsWellness StipendShare PlanAnnual Bonus

Key Requirements

•Proficient in Python and SQL
•Experience with Relational and NoSQL databases
•Knowledge of data design principles (Kimball, Star Schema), data warehousing concepts and data modelling
•Strong understanding of ETL/ELT processes
•Exposure to data monitoring and observability tools

Experience:Data and AI

Skills:Problem-solvingCommunication

Languages:English

Tech Stack:PythonSQLAWSAzureGCPRedshiftAuroraAthenaData FactoryBigQueryPostgreSQLOracleSQL Server

Company Brief

Endava Technology

Industry: Consulting

Website

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Endava Technology

Recent

Senior Data Engineer (Python, AWS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Romania

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain data pipelines for data ingestion, processing, and transformation using cloud services and other technologies
•Create and maintain data solutions mostly in Azure, AWS or GCP and rarely on-premise (Sql Server, Oracle, PostgreSQL)
•Implement data validation and cleansing procedures to ensure data quality, integrity and dependability
•Improve the scalability, efficiency, and cost-effectiveness of data pipelines
•Monitor and resolve data pipeline problems to ensure data consistency and availability

Pay and Benefits

Perks:Hybrid WorkLearning PlatformsWellness StipendShare PlanAnnual Bonus

Key Requirements

•Proficient in Python and SQL
•Experience with Relational and NoSQL databases
•Knowledge of data design principles (Kimball, Star Schema), data warehousing concepts and data modelling
•Strong understanding of ETL/ELT processes
•Exposure to data monitoring and observability tools

Experience:Data and AI

Skills:Problem-solvingCommunication

Languages:English

Tech Stack:PythonSQLAWSAzureGCPRedshiftAuroraAthenaData FactoryBigQueryPostgreSQLOracleSQL Server

Company Brief

Endava Technology

Industry: Consulting

Website