Data-Senior Data Engineer

Endava Technology
Buenos Aires
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Collaboration","Data quality","Problem-solving","Automation","Agile"]

Design and build data pipelines for ingesting, processing, and transforming information in cloud environments. Own data storage solutions using Azure services, implement ETL/ELT workflows, and ensure data quality through validation and cleaning. Improve scalability, efficiency, and cost optimization, while monitoring and resolving pipeline issues. Automate deployments with production standards (CI, version control, unit tests) and collaborate with data scientists and analysts on information needs.

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FursaFursa
Endava Technology
Endava Technology
2 days ago

Data-Senior Data Engineer

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

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

Job Summary

Design and build data pipelines for ingesting, processing, and transforming information in cloud environments. Own data storage solutions using Azure services, implement ETL/ELT workflows, and ensure data quality through validation and cleaning. Improve scalability, efficiency, and cost optimization, while monitoring and resolving pipeline issues. Automate deployments with production standards (CI, version control, unit tests) and collaborate with data scientists and analysts on information needs.
Location: Buenos Aires
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with data scientists and analysts to understand information needs and create efficient data flows.
  • •Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and other technologies.
  • •Create and maintain data storage solutions, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • •Implement data validation and cleaning procedures to ensure data quality, integrity, and reliability.
  • •Monitor and troubleshoot pipeline issues, and automate deployments using production standards (unit tests, CI, version control).

Pay and Benefits

Perks:Annual BonusFlexible HoursWellness StipendCertifications

Key Requirements

  • •Work with data scientists and analysts to understand information needs and create efficient data flows.
  • •Design and implement data pipeline solutions for ingestion, processing, and transformation using cloud services and related technologies.
  • •Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • •Build and maintain ETL processes using Azure Data Factory or equivalent technologies.
  • •Demonstrate strong data engineering skills with Python and SQL, plus ETL/ELT and advanced transformation/optimization using Spark (PySpark/Scala).
Skills:CollaborationData qualityProblem-solvingAutomationAgile
Languages:Spanish (LATAM)
Tech Stack:PythonSQLAzure SQL DatabaseAzure Data LakeAzure Blob StorageAzure Data FactoryAzureAWSGCPDbtDatadogSparkPySparkScalaETLELTEvent-Driven ArchitectureMedallionKimballStar 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
WebsiteLinkedIn