As a Senior Data Engineer, you'll play a key role in shaping the data infrastructure for a major banking client. This position is ideal for someone with a strong background in cloud technologies and data processing.
Dynamic and fast-paced, with a strong emphasis on technology and innovation.
In this role, you will be responsible for developing and maintaining a robust data infrastructure that supports both batch and real-time data processing. Your work will involve designing data pipelines that efficiently handle large volumes of data, ensuring that the systems are scalable and reliable. You'll collaborate closely with data scientists and analysts to understand their needs and provide them with the necessary data tools and resources.
Your day-to-day tasks will include: • Building and optimizing data pipelines for high-volume batch processing • Expanding the real-time data processing capabilities • Managing cloud-based data storage solutions • Ensuring data quality and integrity across systems • Collaborating with cross-functional teams to align on data strategies
This position is suited for someone with at least five years of experience in data engineering, particularly in cloud environments. A strong understanding of database management and data processing frameworks is essential. You should be comfortable working in a fast-paced environment and be able to adapt to changing project requirements. If you have experience with big data technologies or ETL tools, that would be a plus, but the core focus will be on building and maintaining the data infrastructure.
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