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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.
