Data Engineer

SUMMARY:
We are seeking an experienced Data Engineer with strong expertise in Google Cloud Platform to join a fast-growing, innovative organisation. This role offers the chance to design, build, and optimise scalable data pipelines and architectures that support impactful decision-making across the business.

POSITION INFO:
Key Responsibilities:

• Design and develop scalable data pipelines and architectures using Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Build and manage ETL processes to transform diverse data sources into structured, reliable formats.
• Collaborate with data scientists and analysts to deliver solutions that enable insights and smarter decisions.
• Maintain documentation for pipelines, data models, and architecture to ensure clarity and consistency.
• Troubleshoot and resolve data issues while safeguarding quality and integrity.
• Optimise data workflows for performance, scalability, and cost efficiency.
• Automate data-related processes to streamline operations.
• Stay ahead of industry trends and adopt best practices in Google Cloud Platform and data engineering.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong programming skills in BigQuery, Python, SQL, and Google Cloud Platform.
• Proven experience with ETL development and data modeling.
• Familiarity with data lakehouse concepts and techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Hands-on experience with Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Experience in financial services would be an advantage.