Senior Data Engineer - Data Architect, Stakeholder Management, Data Modeling

Purpose of the Role

The Senior Data Engineer will report to the Head of Data Engineering and is accountable for the design, implementation, and maintenance of data solutions that support banking operations. This role plays a critical part in establishing robust data architectures and ensuring compliance with data governance standards.

Scope of Work

• Engage with stakeholders to ascertain data needs and convert them into actionable technical specifications.
• Architect, develop, and sustain scalable data pipelines that facilitate efficient data processing and analytics within a big data environment.
• Enforce data governance frameworks to uphold data integrity and compliance with industry regulations.
• Employ SQL and Python to extract, manipulate, and analyze large datasets, optimizing performance for data retrieval.
• Collaborate within an Agile framework, actively participating in sprint planning, reviews, and retrospectives to enhance project delivery.
• Remain informed on emerging trends and technologies in data engineering and big data, applying innovative practices to advance team capabilities.

Candidate Requirements

• Extensive experience in data engineering and architectural roles within the banking sector.
• Thorough understanding of advanced data modeling techniques alongside industry best practices.
• Proficient in SQL and Python for effective data manipulation and analysis.
• Familiarity with big data technologies and relevant frameworks.
• Strong stakeholder management skills with the capability to articulate complex technical concepts to non-technical audiences.
• Experience working within Agile methodologies.