Data Warehouse Manager

Austin Fraser; Chester; On-site; GBP 50,000 - 80,000

Job description

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:

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

Skills & Qualifications:

1. Educational Background: Degree in Computer Science, Engineering, Mathematics, or a related field.
2. Team Management: Experience managing a technical team (desirable).
3. Communication: Excellent client-facing, written, and verbal communication skills.
4. Technical Skills:
1. Strong understanding of data warehousing and ETL principles.
2. Experience with SAS software on a SAS 9.4 platform.
3. Knowledge of Oracle database solutions and other platforms (SQL Server, etc.).
4. Proficiency in Python 3.x.
5. Intermediate skills in Windows and Linux OS, including batch/Shell Scripting.
5. Organizational Skills: Attention to detail and multi-tasking abilities.
6. Problem-Solving: Strong analytical and problem-solving skills.
7. Sector Knowledge: Understanding of the finance sector and legal guidelines around data and finance.