Senior Data Engineer (Python, AWS)

Endava Technology
Romania
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Problem-solving","Communication","Collaboration"]

Senior Data Engineer responsible for designing, implementing, and maintaining scalable data pipelines across cloud platforms (Azure, AWS, GCP) with a focus on ingestion, processing, and data quality. Collaborates with data scientists, engineers, and analysts to ensure data availability and integrity, leveraging ETL/ELT, data warehousing concepts, and event-driven architecture to enable analytics and decision-making.

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FursaFursa
Endava Technology
Endava Technology
1 year ago

Senior Data Engineer (Python, AWS)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for designing, implementing, and maintaining scalable data pipelines across cloud platforms (Azure, AWS, GCP) with a focus on ingestion, processing, and data quality. Collaborates with data scientists, engineers, and analysts to ensure data availability and integrity, leveraging ETL/ELT, data warehousing concepts, and event-driven architecture to enable analytics and decision-making.
Location: Romania
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 using cloud services and other technologies.
  • •Create and maintain data solutions mainly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, BigQuery) 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.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

  • •Proficient in Python and SQL.
  • •Strong experience with Relational and ideally 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 AI
Skills:Problem-solvingCommunicationCollaboration
Languages:English
Tech Stack:PythonSQLAzureAWSGCPRedshiftAuroraAthenaData FactoryBigQuerySQL ServerOraclePostgreSQL

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