Pickling effluent, being an industrial one, contains a large number of components with unknown transport coefficients. A combined model based on osmotic pressure and the Kedem-Katchalsky mechanism is used to predict these coefficients relevant to this process, e.g., effective osmotic coefficient, solute diffusivity, solute permeability, and reflection coefficient. These coefficients are evaluated utilizing the model and a large number of experimental data generated during ultrafiltration of pretreated pickling effluent. The performance criteria are evaluated in terms of the chemical oxygen demand (COD), the total dissolved solids (TDS), the total solids (TS), pH, and the conductivity of the permeate. The experiments also reveal that the proposed scheme is successfully reducing the COD to well below the prescribed limits and underscore the importance of transmembrane pressure drop and cross flow velocity on the permeate flux and quality.