Client Overview:
Our client is collaborating with a leading digital bank, dedicated to transforming the financial industry with innovative and secure, tech-driven banking solutions. This progressive institution emphasizes delivering personalized and seamless user experiences, establishing itself as a frontrunner in digital transformation within the banking sector. Join a visionary team that is shaping the future of modern banking.
Job Purpose:
The Associate Director - Data Engineering will be responsible for designing, building, and maintaining data pipelines and tools that democratize data across the organization. This role enables data-driven decision-making and involves close collaboration with Data Scientists, Product teams, and business stakeholders to transform business requirements into efficient and reliable solutions.
Key Responsibilities:
- Develop and maintain data Lakehouse solutions using Google BigQuery and Vertex AI, ensuring performance, cost-effectiveness, and advanced analytics.
- Lead the design and development of robust data pipelines (streaming, batch, API endpoints) for efficient data collection, transformation, and analysis.
- Ensure data solutions comply with industry regulations, supporting detailed reporting and self-service analytics.
- Implement best practices for data quality, consistency, and integrity throughout the data infrastructure.
- Establish monitoring, logging, and alerting frameworks to guarantee data pipeline reliability and performance.
- Collaborate with stakeholders to translate business requirements into technical data solutions.
- Conduct code reviews and drive continuous improvement in development processes.
- Facilitate secure data sharing through data marketplaces, maintaining data catalogs and lineage.
- Document data solutions to ensure operational knowledge is accessible across the organization.
- Mentor and guide a team of data engineers, fostering innovation and collaboration.
- Perform additional duties as assigned by the line manager related to the nature of the work.
- Enforce compliance with necessary controls and information security policies, procedures, and practices within departmental activities.
Preferred Qualifications:
- Google Cloud Professional Data Engineer certification.
- Bachelors degree from a recognized university.
- Years & Nature of Experience:
- 10+ years of experience in designing and implementing data pipelines using Google Cloud or other public cloud platforms.
- Deep expertise in Google Cloud technologies such as BigQuery, Data Fusion, DataForm, DataFlow, Cloud Composer, DataPlex, Dataproc, and Analytics Hub.
- Strong understanding of data governance principles, including security, compliance, and privacy by design.
Technical:
- Requirements analysis
- Data pipeline development
Behavioural:
- Collaboration
- Communication
- Problem Solving
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