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This paper explores the challenge of rejecting sinusoidal disturbances with unknown time-varying frequency. A novel data-driven approach for designing linear parameter-varying (LPV) controllers ensuring robust performance is introduced. The method leverages only frequency domain data from a Linear Time-Invariant (LTI) Multi-input Multi-output (MIMO) system. A parametric model of the plant is not required for the control design. A two-step iterative algorithm involving convex optimisation problems in the frequency domain is proposed. Robust and performance is ensured using Integral Quadratic Constraints (IQC) that characterise the bounded variation rate of the disturbance frequency. Experimental validation is provided through results obtained on a hybrid microvibration damping (MIVIDA) platform designed for space applications.