ENGIE is a global reference in low-carbon energy and services with an annual turnover of €60.6 billion. In response to the urgency of climate change, ENGIE has chosen to embark on a new strategic journey to become a world leader in zero-carbon transition. ENGIE strategic goals amplify their need for highly qualified personnel.
Recently, ENGIE Benelux noticed a drop in incoming CVs and lower hiring rates – from 9% to 6.5% – after a period of successfully hiring more than 700 new staff every year. This observable drop occurred despite the use and attempted optimization of multiple tools and channels, including niche job-boards, LinkedIn, headhunters and detachment agencies, campus campaigns, advertising in specialized media and sms-campaigns.
Based on an assessment of labor market demand and candidate availability, web traffic and other research, ENGIE Benelux realized it had to drastically change its Recruitment strategy to be able to successfully fill its more than 1,300 open vacancies.
ENGIE Benelux approached Textkernel for help with two challenges:
- to ensure that talented candidates are engaged and channeled into one of many open vacancies;
- to arm talent recruiters with technology that would help them surface as many candidates as possible within their networks.
Engaging ENGIE candidates
In the past, the candidate journey often ended when a candidate was not selected for an interview or offered a job. Now, candidates are engaged in an ongoing conversation with ENGIE that does not stop with a hard dead-end after exploring one possible role, but offers alternative matching roles. This is helping ENGIE retain interested candidates in its talent pipelines and ensure that its candidate pool remains large.
By integrating Textkernel’s semantic search technology into ENGIE’s existing Oracle Taleo environment, ENGIE was able to dramatically improve in-house sourcing and recruiting capabilities. This is critical, especially when your team is on a Mission Impossible!
Through close collaboration, Textkernel created an enriched taxonomy that was tailored to ENGIE’s needs. This leads to improvements in the accuracy of their search results based on a semantic search that includes their own corporate keywords.
Based on initial assessments, integrating Textkernel’s semantic search technology into Oracle Taleo can help surface 5x more skills in CVs than without. Based on these overwhelmingly positive results, recruiters can now search their own databases before even posting a job ad.
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