Senior Google Cloud Platform (GCP) Data Engineer (Technical Lead)

SUMMARY:
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POSITION INFO:

We are seeking a highly skilled Senior Data Engineer to take on a technical lead role within our data engineering capability. This individual will be responsible for both hands-on delivery and providing technical direction, ensuring the design and implementation of scalable, high-quality data solutions.

The ideal candidate will have strong experience in Google Cloud Platform (GCP) and a proven track record in building modern data platforms. This role requires someone who is equally comfortable leading technical initiatives, mentoring team members, and engaging with stakeholders to deliver impactful data solutions.

Key Responsibilities

• Lead the design and implementation of scalable data pipelines and architectures using GCP technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Act as the technical lead for data engineering, setting best practices, standards, and architectural direction.
• Build and maintain robust ETL/ELT processes to transform and integrate data from multiple sources.
• Collaborate closely with data scientists, analysts, and business stakeholders to deliver data solutions aligned to business needs.
• Provide hands-on development support while guiding and mentoring other engineers.
• Ensure high standards of data quality, governance, and performance optimisation across all pipelines.
• Troubleshoot and resolve complex data-related issues in a timely manner.
• Drive automation and efficiency through reusable frameworks and tooling.
• Maintain clear documentation of data architecture, pipelines, and models.
• Stay up to date with emerging trends and best practices within GCP and data engineering.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years’ experience in data engineering, with proven experience in a senior or lead capacity.
• Strong hands-on experience with GCP, particularly BigQuery, with exposure to Dataflow, Pub/Sub, and Cloud Storage.
• Proficiency in Python and SQL for data processing and transformation.
• Solid experience in data modelling, ETL/ELT development, and modern data architectures (e.g. lakehouse).
• Experience in designing and leading scalable data solutions.
• Strong problem-solving and analytical skills.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Experience in mentoring or leading technical teams is highly advantageous.
• Exposure to financial services environments would be beneficial.

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