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Senior BigQuery Engineer

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NTT DATA

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Location:
Romania , Bucharest

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Senior BigQuery Engineer will design and maintain scalable data warehouse solutions in BigQuery, optimize performance, and build data processing pipelines. You will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices.

Job Responsibility:

  • Design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake)
  • Design and implement a cloud-native data warehouse to replace on-premises infrastructure
  • Optimize performance through partitioning, clustering, query tuning, and workload management
  • Build data processing pipelines and workflows feeding BigQuery from multiple sources
  • Implement data quality checks, validation frameworks, and reconciliation processes
  • Work closely with product owners, analysts, to ensure solution align with the business requirements specification

Requirements:

  • University degree in computer science or a comparable qualification
  • At least 5 years of data engineering experience
  • Strong SQL knowledge, preferably on Google Cloud Platform (GCP)
  • Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management
  • Hands-on experience building data processing pipelines using Dataflow (batch and streaming)
  • Good understanding of data warehousing concepts, data flows, data feeds
  • Experience using Bitbucket for Git-based source control and collaboration
  • Ability to work collaboratively in a dynamic environment

Nice to have:

  • Hands-on experience with Python/PySpark for scalable distributed data processing
  • Experience with Infrastructure as Code (Terraform, Ansible, Chef)
  • Knowledge of shell scripting
  • Experience in financial services or regulated environments
What we offer:
  • Smooth integration and a supportive mentor
  • Flexible working style (Remote, Hybrid or Office)
  • Flexible working hours
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions or accredited Coaching School
  • Epic parties or themed events

Additional Information:

Job Posted:
March 20, 2026

Work Type:
Remote work
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