The Offer

• Join a well known brand within IT Services
• Work within a company with a solid track record of success
• Excellent career development opportunities

The Job

Key Responsibilities:

• Data System Development: Design, build, and maintain robust data systems, including data pipelines, data warehouses, and data lakes, to efficiently collect, store, process, and analyze large volumes of data.
• Data Governance: Implement and enforce data governance practices, ensuring data integrity, compliance with regulatory standards, and adherence to the bank's data policies.
• Collaboration: Work closely with the Solution Architect and Data Analytics teams to align data engineering efforts with broader IT and business objectives.
• Machine Learning & Data Mining: Apply machine learning techniques and data mining processes to enhance data processing capabilities and extract valuable insights.
• Secure Coding Practices: Ensure that all data systems are developed with secure coding practices to protect sensitive information and comply with security protocols.
• Change & Transformation: Support change and transformation initiatives by developing scalable and adaptable data solutions that can evolve with the bank's needs.
• Database Management: Design and manage database structures that support efficient data storage, retrieval, and analysis.
• Strategic Thinking: Contribute to the development of data strategies that align with the bank’s long-term goals and digital transformation efforts.
• Risk & Controls: Identify potential risks in data processes and implement controls to mitigate these risks, ensuring compliance with internal and external regulations.
• Professional Collaboration: Engage with cross-functional teams to ensure that data solutions are fully integrated and support business processes effectively.

The Profile

Mandatory Requirements:

• DevOps: Experience with DevOps practices to support continuous integration and deployment of data systems.
• Data Governance: Strong knowledge of data governance frameworks and their application in a financial environment.
• Requirements Analysis: Ability to conduct detailed requirements analysis to inform data system design and development.
• Machine Learning: Proficiency in applying machine learning techniques to data processing and analysis.
• Data Mining: Experience with data mining techniques to extract valuable insights from large datasets.
• Strategic Thinking: Ability to align data engineering efforts with the bank’s strategic objectives.
• Data Warehousing (DW): Expertise in designing and managing data warehouses that support large-scale data analysis.
• Change & Transformation: Experience in supporting change initiatives through the development of flexible and scalable data solutions.
• Database Structures: Strong skills in designing and managing database structures that ensure efficient data storage and retrieval.
• Secure Coding Practices: Proficiency in secure coding practices to protect sensitive data.
• Risk & Controls: Knowledge of risk management and control measures specific to data systems in a financial context.
• Data Engineering: Proven experience in data engineering, with a focus on building and maintaining data systems in a complex, regulated environment.

The Employer

Our client supplies thousands of tech and digital professionals annually to a range of clients through its offices which spread across in 42 countries. From simple beginnings in 2014, our client has always been on a journey to reinvent the world of recruitment through creating amazing customer and candidate experiences driven by a genuine desire to build long term relationships and outcomes.