Data Warehouse Manager/Tech Lead

Chester (Hybrid - 2 days a week)

Up to £60,000 + Benefits

A key client based in Chester are on a 3 year technology transformation journey and are looking for a Data Warehouse Manager to spearhead a vibrant team in providing state-of-the-art data warehousing solutions. This position entails overseeing daily operations and spearheading the transformation of the data warehousing capabilities to leverage advanced tools within a contemporary cloud framework.

Technical Skills:

• Strong understanding of data warehousing and ETL principles.

• Experience with SAS software

• Knowledge of Oracle database solutions

• Proficiency in Python

Data Warehouse Manager/Tech Lead 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, prioritising 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.
• 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.

Other 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.
• Organisational 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.