GCP Data Engineer: Pipelines, BigQuery & Dataflow

GCP Data Engineer: Pipelines, BigQuery & Dataflow

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
HCLTech

At a Glance

  • Tasks: Design and develop scalable data pipelines using GCP technologies like BigQuery and Dataflow.
  • Company: Join HCLTech, a leader in innovative cloud solutions.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment focused on security, governance, and cost optimisation.
  • Why this job: Make an impact by building robust data platforms for analytics and reporting.
  • Qualifications: Expertise in SQL, Python (or Java), CI/CD, and Terraform required.

The predicted salary is between 60000 - 80000 Β£ per year.

HCLTech is seeking a Senior Data Engineer in London to design, develop, and maintain scalable data pipelines on GCP.

You will work with Big Query, Dataflow, Pub/Sub, and Data Proc to build robust data platforms for reporting and analytics.

The role requires expertise in SQL and Python (or Java), CI/CD, and Ia C (Terraform).

You will collaborate with cloud architects to improve platform maturity while ensuring security, governance, and cost optimization.

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GCP Data Engineer: Pipelines, BigQuery & Dataflow employer: HCLTech

HCLTech is an excellent employer for those looking to advance their careers in cloud and infrastructure migration. With a strong focus on professional development, employees benefit from competitive compensation and a collaborative work culture that encourages innovation and growth. Located in a dynamic environment, HCLTech offers unique opportunities to work on cutting-edge technology projects while ensuring a supportive atmosphere for personal and professional advancement.

HCLTech

Contact Details:

HCLTech Recruitment Team

We think you need these skills to ace GCP Data Engineer: Pipelines, BigQuery & Dataflow

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration