Transcriptome analysis using high-throughput next-generation sequencing (HT-NGS) technology provides the capability to understand global gene expression variations through a wide range of tissue samples in domesticated animals. We provide raw and analysed data for transcriptomic analysis of liver tissues from Polish-HF, Polish Red and Hereford cattle breeds, obtained by RNA-seq. High-quality sequencing data have been analysed using our bioinformatics pipeline which consists of FastQC for quality controls, Trimmomatic for trimming, and BWA version 0.7. 5-r404 for alignment to the Bos taurus reference genome, SAMtools for SNPs identifications, and differentially expressed genes (DEGs) identification using DEseq and edgeR pipelines after adjustment for false-discovery rate (FDR) with adjusted two-sided p values< 0.01 and the trimmed mean of M values (TMM) normalisation method. The data accompanying the published manuscript describing the SNPs and DEGs identification in the bovine liver transcriptome of cattle breeds. Raw FASTq files for the RNA-seq libraries are deposited in the NCBI Sequence Read Archive (SRA) and have been assigned BioProject accession PRJNA312148. Raw and processed RNA-seq data were deposited and made publicly available on the Gene Expression Omnibus (GEO; GSE114233).