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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

Lead the design and maintenance of scalable data pipelines across cloud platforms (Azure, AWS, GCP), collaborating with data scientists and analysts to ingest, process, and transform data. Build robust data solutions using relational and NoSQL databases, implement ETL/ELT processes, and ensure data quality, observability, and cost-efficiency in a mid-senior data engineering team.

Location: Bucharest

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Work with data engineers, scientists and analysts to understand data needs and create effective data pipelines.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation across cloud services and other technologies.
•Create and maintain data solutions primarily on 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 scalability, efficiency, and cost-effectiveness of data pipelines.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

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

Experience:Data and AIData analytics

Skills:Problem-solvingCommunicationTeamwork

Languages:English

Tech Stack:PythonSQLAzureAWSGCPRedshiftAuroraAthenaData FactoryBigQuerySQL ServerOraclePostgreSQLNoSQLETLELTData warehousing

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: Bucharest

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Work with data engineers, scientists and analysts to understand data needs and create effective data pipelines.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation across cloud services and other technologies.
•Create and maintain data solutions primarily on 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 scalability, efficiency, and cost-effectiveness of data pipelines.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

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

Experience:Data and AIData analytics

Skills:Problem-solvingCommunicationTeamwork

Languages:English

Tech Stack:PythonSQLAzureAWSGCPRedshiftAuroraAthenaData FactoryBigQuerySQL ServerOraclePostgreSQLNoSQLETLELTData warehousing

Company Brief

Endava Technology

Industry: Consulting

Website