Data Warehouse Manager

Sanderson; Chester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the technology sector is seeking a Data Warehouse Manager to lead a diverse team in delivering innovative data warehousing solutions. The role involves modernizing data functions with industry-leading tools in a cloud environment, requiring strong analytical skills and experience in SAS, ETL, and Python.

Qualifications

• Experience managing a technical team is desirable.
• Strong understanding of data warehousing and ETL principles.
• Attention to detail and multi-tasking abilities.

Responsibilities

• Lead and coordinate the data warehousing team.
• Manage the work backlog and prioritize tasks.
• Deliver ETL and data processing code.

Skills

Data warehousing

ETL

SAS

Python

Analytical skills

Problem-solving

Education

Degree in Computer Science, Engineering, Mathematics, or related field

Tools

Oracle databases

Windows OS

Linux OS

Job description

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Perm Delivery Team Lead - Technology & Architecture

Are you passionate about data and analytics? Our client is seeking a Data Warehouse Manager to lead a diverse team in delivering innovative data warehousing solutions. This role involves supporting daily operations and modernizing our data warehousing function with industry-leading tools in a cloud environment. We welcome candidates from all backgrounds with experience in SAS, ETL, and Python.

Key Responsibilities:

• Lead and coordinate the data warehousing team.
• Manage the work backlog and prioritize tasks.
• Mentor team members and foster an inclusive environment.
• Deliver ETL and data processing code.
• Develop process automation solutions.
• Liaise with third-party suppliers.
• Document systems and processes.
• Advise on data security and compliance.
• Design solutions and support scheduling systems.
• Champion best practices in coding and solution design.

Skills & Qualifications:

• Degree in Computer Science, Engineering, Mathematics, or related field.
• Experience managing a technical team (desirable).
• Strong understanding of data warehousing and ETL principles.
• Experience with SAS software, Oracle databases, and Python.
• Intermediate skills in Windows and Linux OS.
• Attention to detail and multi-tasking abilities.
• Strong analytical and problem-solving skills.
• Knowledge of finance sector and legal guidelines.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Information Technology

• Industries

  Technology, Information and Media

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