Onsite Senior Data Engineer, Python, BQ

Posted 1 hour ago

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About the role

  • Senior Data Engineer at NTT DATA responsible for building scalable data pipelines using Python and SQL. Focused on enhanced data quality and modern cloud-native ecosystems in an agile environment.

Responsibilities

  • Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
  • Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models
  • Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code
  • Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability
  • Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
  • Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
  • Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards

Requirements

  • University degree in computer science or a comparable qualification
  • At least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data 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
  • Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices
  • Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services
  • Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment
  • Proficiency with version control, CI/CD pipelines, and automated testing frameworks
  • Ability to troubleshoot and optimize performance across compute, storage, and processing layers

Benefits

  • New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Early bird or night owl? Our projects have different working hours to suit your needs
  • Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
  • We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
  • A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
  • Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families

Job title

Senior Data Engineer, Python, BQ

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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