Data Engineer (GCP)

SUMMARY:
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POSITION INFO:

PBT Group is looking for a GCP Data Engineer to join a high-performing data engineering capability focused on delivering scalable, modern cloud-based data solutions.

This opportunity is ideal for a hands-on Data Engineer with strong Google Cloud Platform (GCP) experience who enjoys building and optimising data pipelines, integrating complex data sources, and enabling data-driven decision-making through robust engineering practices.

The successful candidate will work alongside Data Engineers, Architects, Analysts, and business stakeholders within Agile delivery environments to deliver high-quality enterprise data solutions.

Key Responsibilities

Data Engineering & Pipeline Development

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimise data ingestion, transformation, and orchestration processes.
• Develop solutions using GCP technologies such as:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer
• Integrate structured and unstructured data from multiple source systems.

Data Modelling & Transformation

• Support the development of modern cloud data platforms and data warehouses.
• Implement data transformation logic and business rules.
• Ensure data quality, consistency, reliability, and governance standards are maintained.
• Optimise query performance and large-scale data processing workloads.

Collaboration & Delivery

• Work closely with Data Analysts, BI teams, and business stakeholders to understand requirements and deliver fit-for-purpose solutions.
• Participate in Agile ceremonies and contribute toward sprint delivery commitments.
• Assist with troubleshooting, debugging, and resolving data-related issues.
• Contribute to continuous improvement initiatives and engineering best practices.

Automation & DevOps

• Support CI/CD practices and deployment automation.
• Assist with monitoring, logging, and performance optimisation of data pipelines.
• Contribute toward reusable frameworks, templates, and engineering standards.

Required Skills & Experience

Essential

• 3–5 years’ experience in Data Engineering or related roles.
• Hands-on experience with Google Cloud Platform (GCP).
• Strong experience with:
  • BigQuery
  • SQL
  • Python
• Experience building ETL/ELT pipelines.
• Understanding of modern data warehousing concepts and architectures.
• Experience working with large datasets and data transformation processes.
• Strong analytical and problem-solving capability.
• Experience working in Agile delivery environments.

Advantageous

• Exposure to Dataflow, Pub/Sub, Cloud Composer, or Dataproc.
• Experience with dbt or similar transformation frameworks.
• CI/CD and DevOps exposure.
• Financial services or enterprise consulting experience.
• Exposure to data governance and data quality practices.

Ideal Candidate Profile

We are looking for someone who:

• Is technically strong and delivery-focused.
• Enjoys solving complex data problems.
• Can work independently while collaborating effectively within teams.
• Has a passion for cloud technologies and modern data engineering practices.
• Is eager to continue growing within enterprise-scale cloud data environments.

Key Competencies

• Strong communication and stakeholder engagement skills.
• Attention to detail and quality-focused mindset.
• Adaptability and willingness to learn.
• Strong troubleshooting and analytical ability.
• Team collaboration and delivery ownership.

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* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.