Data Engineering Manager

McCabe & Barton; United Kingdom; On-site; GBP 85,000 - 98,000; Full time

Job summary

A leading Financial Services client in the City of London is seeking an experienced Data Engineering Manager to join on a permanent basis. This role offers a competitive salary of £85,000 along with a strong benefits package and flexible working arrangements. The ideal candidate will have a robust background in data engineering, particularly in SQL and cloud technologies, and will be responsible for designing and maintaining data pipelines within the architecture.

Qualifications

• Experience designing and maintaining data pipelines.
• Strong SQL skills and knowledge of Python, C++, and Java are beneficial.
• Experience managing teams of Data Engineers.

Responsibilities

• Design, improve, and maintain robust data pipelines.
• Work in a cloud environment with Azure tools.
• Manage small teams of Data Engineers.

Skills

SQL

Data pipeline management

Cloud environment experience

Agile methodologies

Problem-solving

Tools

Snowflake

Microsoft Azure

Azure Data Factory

Azure DevOps

Job description

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Senior Information Technology Consultant at McCabe & Barton

A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working.

The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture.

To be considered for this role you will need the following:

• Experience designing, improving and maintaining robust data pipelines
• Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial
• Possesses a strong understanding of Snowflake - beneficial
• Experience managing small teams of Data Engineers
• Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps
• Experience working in fast-paced Agile environments
• Creativity and curiosity for solving complex problems.

If you are an experienced Data Engineering Manager with the required skills, please respond with an up-to-date version of your CV for review.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management, Information Technology, and Engineering

• Industries

  Financial Services, Data Infrastructure and Analytics, and Software Development

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