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Company Description
Data Idols is a UK based recruitment partner dedicated to building high performing data teams for ambitious brands. Founded by a former DBA who believed technical knowledge could transform hiring outcomes, the company blends hands on understanding of data with a community led approach to deliver permanent, contract and executive hires across data science, analytics, data engineering and AI. With a homegrown network of more than 30,000 data professionals and an in house events platform that includes the Data Science Festival, Lightning Talks, Summer School and a continually updated Data Hub, the team connects employers with hard to find talent and helps candidates progress their careers. Clients span digital media, retail and consumer goods, fintech and financial services, and logistics, with success stories that include Royal Mail, Mars Petcare and Ratesetter. Assignments range from Staff and Senior Data Engineer to Head of Data Science and Applied AI Engineer, and the company is comfortable speaking the language of modern data stacks from Python, PySpark and SQL through Databricks and container orchestration to cloud platforms such as GCP BigQuery, AWS Redshift and Azure. Data Idols shares market intelligence on salaries, skills availability and onboarding best practice, advises on employer branding and candidate experience, and can mobilize shortlists rapidly while maintaining a strong focus on quality and long term fit. For contracting needs, they supply experienced specialists under tight timelines and budget constraints, while permanent and leadership mandates are handled with a thorough, consultative search process. Candidates receive transparent guidance, interview preparation and access to learning resources so they can make confident moves into roles where they will have impact. Trusted by leading brands and the wider UK data community, Data Idols blends recruitment, consulting, training and events to help organizations hire smarter and to help talented people do their best work in data.
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