Data Engineering Manager

Ashdown Group; Remote; GBP 68,000 - 80,000; Full time

Job summary

A leading retail company is seeking a Data Integration Manager to enhance their IT function. This full-time permanent role involves leading a team in data engineering and integration, ensuring that data infrastructure supports analytics and reporting. The position requires expertise in cloud technologies, Agile methodology, and DevOps. This remote/home-based role offers a salary of up to £80,000 plus bonuses and private healthcare.

Benefits

Competitive salary

Bonus

Private healthcare

Qualifications

• Proven experience in team leadership and guidance.
• Strong background in data engineering to align with business needs.
• Familiarity with cloud technologies such as Azure and AWS.

Responsibilities

• Manage processes for data engineering and integration aligned with business needs.
• Lead a team across engineering and integration functions.
• Ensure data infrastructure supports analytics, AI, ML, and reporting.

Skills

Team leadership

Data engineering

Cloud technologies (Azure/AWS)

Agile methodology

Data warehousing

ETL/ELT

DevOps understanding

API integrations

Job description

Key Details

• Full time permanent role
• Retail industry
• Remote/home-based
• Salary up to £80,000 plus bonus, private healthcare and more!

ACoordinate large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end data engineering and integration solutions for a company wide modernisation programme. Duties will include:

Responsibilities

• Managing the processes for data engineering and data integration in order to align to business needs
• Leading a team across engineering and integration
• Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting
• Designing of data pipelines, ETL, ELT processes and architecture
• Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications

Qualifications

• Team leadership and guidance
• Data engineering and aligning of data to business needs
• Cloud technologies (Azure/AWS)
• Understanding of Agile methodology
• Data warehousing and Data Lakes
• ETL/ELT
• DevOps understanding
• API integrations