Senior Data Engineer (BQ)

NTT
Romania
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Collaboration","Problem-solving","Engineering judgment","Code quality focus","Responsible data practices"]

Design and deliver scalable batch and near real-time ETL/ELT pipelines to power advanced reporting and decision-making within a regulatory and risk reporting analytics stream. Build performant, cost-efficient BigQuery data models and develop reliable Python and PySpark workflows for distributed processing. Use GCP services like Dataflow, Cloud Composer, Pub/Sub, and GCS to operate modern cloud-native data platforms, while ensuring data quality, performance, and strong engineering practices including CI/CD and testing.

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FursaFursa
NTT
NTT
5 days ago

Senior Data Engineer (BQ)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Design and deliver scalable batch and near real-time ETL/ELT pipelines to power advanced reporting and decision-making within a regulatory and risk reporting analytics stream. Build performant, cost-efficient BigQuery data models and develop reliable Python and PySpark workflows for distributed processing. Use GCP services like Dataflow, Cloud Composer, Pub/Sub, and GCS to operate modern cloud-native data platforms, while ensuring data quality, performance, and strong engineering practices including CI/CD and testing.
Location: Romania
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and deliver batch and real-time ETL/ELT pipelines across cloud environments for analytics and reporting.
  • •Write and optimize advanced SQL transformations and build performant, cost-efficient BigQuery data models.
  • •Implement scalable Python workflows using PySpark, ensuring maintainable, high-quality code.
  • •Build robust data models and apply validation practices to maintain data accuracy and reliability.
  • •Use GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub, GCS) to build and operate modern cloud-native data platforms while troubleshooting performance issues.

Pay and Benefits

Perks:Health InsuranceLearning Budget

Key Requirements

  • •University degree in computer science or a comparable qualification.
  • •At least 5 years of experience as a Data Engineer building scalable data pipelines in cloud-based ecosystems.
  • •Strong expertise in SQL and hands-on experience building performant datasets in BigQuery (or similar cloud data warehouses).
  • •Proven experience with Python and PySpark for scalable data processing in distributed environments.
  • •Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services.
Experience:Cloud-nativeData pipelinesETL/ELTData warehousing
Education:Bachelor's in computer science
Skills:CollaborationProblem-solvingEngineering judgmentCode quality focusResponsible data practices
Tech Stack:SQLBigQuerySparkPySparkPythonGoogle Cloud PlatformGCPETLELTDataflowCloud ComposerPub/SubGCSCI/CDVersion controlTesting frameworks

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn