The order in which job vacancies are displayed is determined by a composite score based on the following factors:
Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.
Are you an Electrically Biased Proposals Engineer that would be keen to join Enpure, delivering Innovative Water & Wastewater Solutions?
We’re looking for an Electrically Biased Proposals Engineer to help shape technically strong, commercially sound MEICA tender solutions.
If you enjoy developing optimal electrical designs, preparing detailed estimates, and working collaboratively with multidisciplinary teams — we’d love to hear from you.
✔ Water & wastewater sector experience
✔ Strong electrical engineering background
✔ Ability to coordinate inputs, meet deadlines, and support bids
✔ Great communication & commercial awareness
📩 Apply now and help us drive forward smarter, cleaner infrastructure