Engineering Lead- Kotlin, Barcelona


Empresa contratante: HAYS

Salario: Sin Especificar

Engineering Lead- Kotlin en Barcelona.

– Swiss multinational

– They are launching a new business unit in Barcelona (digital project from scratch). Startup environment within a leading worldwide multinational with presence in +100 markets +3000 patents +4 billion consumers with over with over 10 000 employees globally 6 R D centers and a turnover of +3.9bn Swiss Francs.

What we offer

– Flexible working hours
– Remote work allowed (some assistance to the office in case of meetings etc)
– Salary Up to 70k (negotiable according to experience) + Bonus
– 35 days of paid holidays
– Tickets restaurant (140 /month)
– Private health insurance
– Pension plan
– Constant training
– The ability to be a part of a highly creative and imaginative team in an incredibly competitive and inspiring industry
– To be part of a company shaping a strong legacy through breakthrough industrial innovations and technology


– Several years of experience in software engineering – ideally both with frontend and backend related topics and technologies as well as machine learning or general data science topics
– Experience in technologies such as Kotlin Spring Boot PostgreSQL cloud infrastructure (eg Azure) TDD CI/CD Clean Code Best practices microservices infrastructure-as-code (eg Terraform) GraphQL TypeScript modern frontend stack (eg Vue)¡
– Leadership experience of small – mid-sized projects or teams (starting from 2-3 employees) and ability to energize team on tech vision
– Product mindset and ability to speak with product leadership frequently and comprehensively
– Strong stakeholder management and alignment skills
– Experience working with agile lean test-driven and continuous delivery approaches
– Excellent communication (English is a must) and people skills


– Design build scale and maintain software solutions (Backend Kotlin Spring Boot Postgres Azure Terraform Python Pandas and GraphQL / Frontend TypeScript Vue Apollo Client)
– Drive integration with existing enterprise software landscape
– Organizational and technical management of the software engineering and data science team
– Provide technical leadership guiding growing and constantly developing team members
– Work closely and partner with product and design teams
– Drive improvements to data intelligence features
– Getting hands dirty by executing alongside the team if needed
– Foster a culture of continuous delivery and test-driven development
– Champion good agile practices that provide a foundation for iterative product development
– Staying up-to-date with current technologies

Kotlin, Spring Boot, Postgres, Azure,



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