Software Engineering Tech Lead / Manager - Java

Software Engineering Tech Lead / Manager - Java, Javascript, ETL

Up to £700 per day (Inside IR35)

London / Hybrid (3 days per week on-site)

This is a contract resource, so all candidates must come from a contracting background.

My client is a high profile organisation who are recruiting for a Software Engineering Tech Lead / Manager with experience of leading, coaching and managing teams of Software Engineers. This role will oversee the Development and maintenance of Technology products, with deep technical expertise across a range of technologies (Java, Javascript and Azure / GCP for example) and a proven track record of delivery and building high performing Software Engineering teams.

Key Requirements:

Proven experience as a Software Engineering Tech Lead / Manager in large, complex organisations
A track record of building, leading, coaching and supporting high performing Software Engineering teams
A hands-on background, with deep technical expertise across a range of technologies (Java, Javascript and Azure / GCP for example) including building distributed systems
Ability to simplify complex data challenges in areas such as 'match and merge', and 'enhance-transform & load' (ETL) through tooling and navigating the inherent quality, scale, and dependency issues that come with large datasets
Previous experience of designing Software architectures for scalability, reliability and performance
Demonstrable experience of building a product from concept to prototype and implementation
Proven knowledge and experience of Agile delivery processes
Excellent stakeholder management skills, with stakeholders across the organisation including users, Product teams, technical and non-technical audiences, as well as senior management to describe and discuss Software Product features, technical designs, and Product strategy
Exceptional communication skills
Flexible approach towards hybrid working (3 days per week)
Nice to have:

Degree / Masters in Computer Science (or related field)
Strong understanding of Computer Science fundamentals in data structures, algorithm design, problem solving and complexity analysis
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