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We are an International Recruitment Consultancy working with start-ups and large technology corporations to recruit the most talented professionals for tech teams, helping organisations to scale rapidly and build the technologies and products of the future. Since 2012, we have applied our consultancy services to more than a 150 small to large international companies spread across Europe, the US, Africa and Asia, helping them to fill thousands of open positions.
Our experience has allowed us to build a transparent and effective delivery process for recruitment, redefining traditional recruitment approaches. With our on-site, remote or hybrid embedded (RPO) Talent Partner Model, we place our highly-qualified recruiters inside businesses to support, improve and/or carry out their hiring process(es).
Our team use the latest technologies and tools to communicate and collaborate with all stakeholders involved, including our client's internal hiring talent teams and hiring managers, our own talent partners and account managers. Apart from delivering amazing talents for teams, we also offer DE&I sourcing and analysis, culture & value creation, interview training across the C-Suite and management, and creation of Talent Events.
Our solution creates a quicker, easier, and more personalised ordering experience for consumers, which in turn increases profits per square metre for retailers. Clients include Sodexo (Euronext: SW), FAT Brands (Nasdaq: FAT), Chatime (Taipei: 2732), and more. Google selected Dynamify as part of their 'Best of British' Top 10 UK Startups of 2016.
Required
A Bachelor's degree in Computer Science, Physics, Mathematics, Engineering (or any other relevant subject) Experience designing and deploying applications with JavaScript Proficient in an object-oriented language A passion for high standards of quality
Bonus
A Masters's degree or PhD in Computer Science, Physics, Mathematics, Engineering (or any other relevant subject) A portfolio of work or public links to live applications to which you were a primary contributor Experience (internships included) working in a tech company or startup Statistical background with experience in analysing large datasets and with regression and classification modelling in a prediction/control setting Business acumen - to provide value-add to the business as a whole