As part of the data workstream, you will play an essential role in supporting the development of data pipelines, optimising financial processes, and ensuring the seamless flow of data across systems. The role will involve collaborating with IT and business teams, managing ETL processes, and delivering impactful data solutions that support GCFOs transformation goals.
responsibilities :
Design, implement, and maintain efficient data pipelines linking core platforms with SAP systems.
Manage ETL processes to ensure high-quality data integration and reliability.
Collaborate with IT and business teams to ensure seamless data integration across platforms (including tools like DataIku, Exasol, and APOS).
Utilise SQL, Python, and other relevant tools for data processing and analysis.
Work with business stakeholders to understand data requirements and deliver actionable insights.
Document all data pipelines, processes, and models in detail.
Identify areas for improvement and implement best practices in data engineering.
Develop and maintain data mappings, transformation rules, and integration specifications.
Provide expert support during the deployment of new functionalities and assist with troubleshooting.
Offer ongoing support and knowledge sharing to both end-users and team members.
Ensure the availability of required data attributes, including frequency and granularity.
Review and challenge taxonomy requirements related to hierarchical data structures.
requirements-expected :
Proven experience in data management and/or execution of data operating models, particularly in transformation projects.
A minimum of 5 years of overall work experience, with at least 2 years of relevant data engineering experience.
Ability to work independently and take initiative.
Strong communication and presentation skills, with the ability to manage senior stakeholders.
A track record of delivering high-quality performance and acting as a role model of the bank’s core values.
Highly motivated with a strong work ethic and attention to detail.
Experience in data management and operating models within a Tier 1 Bank.
Familiarity with organisational design and process implementation to support regulatory financial reporting.
A deep understanding of end-to-end data operating models.
Ability to display authority, integrity, and ethical standards in all work.
Exposure to business architecture principles and methods.
