Are you passionate about data and analytics? Our leading client is seeking a Data Warehouse Manager to lead a dynamic team in delivering cutting-edge data warehousing solutions. This role involves supporting day-to-day operations and driving the modernization of our data warehousing function to utilize industry-leading tools within a modern cloud architecture. The successful candidate will have strong data warehouse experience in data-related development roles, including SAS, ETL and Python.

Key Responsibilities:

• Team Leadership: Coordinate and manage the data warehousing team to deliver support and change requirements.
• Work Management: Track and manage the data warehousing work backlog, prioritizing tasks as agreed with technology management.
• People Management: Mentor and develop team members, fostering a collaborative and innovative environment.
• Technical Delivery: Deliver ETL and data processing code as part of a working technical team.
• Process Automation: Develop and maintain process automation solutions.
• Vendor Liaison: Work with third-party suppliers and vendors to ensure productive relationships.
• Documentation: Ensure data warehousing systems and processes are adequately documented.
• Security & Compliance: Advise on data security and compliance requirements.
• Solution Design: Ensure the right architecture, process, and code structure for changes or new developments.
• Scheduling Support: Maintain and support the scheduling system for reporting and warehouse build jobs.
• Best Practices: Champion coding and solution design best practices within the data warehousing user community.

Skills & Qualifications:

• Educational Background: Degree in Computer Science, Engineering, Mathematics, or a related field.
• Team Management: Experience managing a technical team (desirable).
• Communication: Excellent client-facing, written, and verbal communication skills.
• Technical Skills:

• Strong understanding of data warehousing and ETL principles.

• Experience with SAS software on a SAS 9.4 platform.

• Knowledge of Oracle database solutions and other platforms (SQL Server, etc.).

• Proficiency in Python 3.x.

• Intermediate skills in Windows and Linux OS, including batch/Shell Scripting.

• Organizational Skills: Attention to detail and multi-tasking abilities.
• Problem-Solving: Strong analytical and problem-solving skills.
• Sector Knowledge: Understanding of the finance sector and legal guidelines around data and finance.