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.
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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.
Contract: Initial six months
Start date: ASAP
Rate: Competitive day rate, dependent on experience
Location: Flexible, with some onsite working likely to be required
We are supporting a organisation with an urgent requirement for an experienced Interim Microsoft Fabric Data Engineer or Data Architect.
The organisation already has a Microsoft Fabric environment, an established data lake and a wide range of business data within the platform. This includes customer, marketing, industry and external data sources.
The immediate requirement is for an experienced interim who can quickly assess the existing environment, strengthen its architecture and governance, implement the necessary controls and develop the organisation’s internal capability