Data Engineer

Role: Data Engineer – GCP & ETL (Banking Domain)

Location: Canary Wharf, London, UK

Employment Type: Permanent-Full time

Mode of working: Hybrid (2 days/week onsite)

Role Overview

We are looking for a hands-on Data Engineer with strong experience in Data Engineering, ETL development, and the Google Cloud Platform (GCP), preferably within the banking or financial services domain.

The ideal candidate should have practical experience in building and maintaining scalable data pipelines, working with large datasets, and supporting cloud-based data integration and transformation initiatives in enterprise environments.

This is a pure engineering role and not suited for Architect or managerial profiles.

Key Responsibilities

• Design, develop, and maintain scalable ETL and data pipelines on GCP.
• Work with structured and unstructured datasets from multiple source systems.
• Develop and optimize cloud-based data processing solutions.
• Perform data ingestion, transformation, validation, and cleansing activities.
• Collaborate with business, analytics, and technology teams to support data initiatives.
• Ensure data quality, security, governance, and compliance standards are maintained.
• Troubleshoot and resolve production issues related to data pipelines and integrations.
• Support batch and real-time data processing requirements.

Required Skills

• Strong understanding of Data Engineering concepts and ETL methodologies.
• Hands-on experience with GCP-based data engineering solutions and services.
• Strong SQL and data manipulation skills.
• Experience with Python, Java, or Scala.
• Experience in building and maintaining scalable data pipelines.
• Good understanding of data warehousing and distributed data processing concepts.
• Familiarity with cloud-based data architectures and processing frameworks.
• Experience working in Agile delivery environments.

Preferred Skills

• Experience within Banking or Financial Services domain.
• Exposure to real-time or streaming data processing.
• Understanding of data governance and regulatory compliance requirements.
• Familiarity with CI/CD and version control tools