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Data Idols

Data Idols

www.dataidols.com

2 Jobs

7 Employees

About the Company

Data Idols work with the UK's leading data focused tech companies, we help organisations apply Data Engineering and Data Science techniques to improve the delivery of data projects, through consulting, recruitment, training and events.

We believe strongly that the data world is changed, you now need to have an awareness of multiple different technologies and platforms. One platform doesn't fit all and increasingly companies we work with are implementing different technologies dependent on very specific project requirements.

Listed Jobs

Company background Company brand
Company Name
Data Idols
Job Title
Head of AI
Job Description
**Job Title** Head of AI **Role Summary** Lead the strategic definition, governance, and scaling of an organization‑wide AI agenda. Build and direct an integrated AI function that unifies existing machine learning, AI operations, and emerging AI capabilities. Deliver commercial value and responsible AI adoption across the enterprise. **Expectations** - Formulate and own the enterprise AI strategy aligned with long‑term business goals. - Establish, lead, and grow a high‑impact AI organization that consolidates and elevates current teams. - Champion the responsible, scalable deployment of generative, agentic, and operational AI. - Translate AI opportunities into high‑impact commercial use cases. - Influence senior leadership and secure executive support for AI initiatives. **Key Responsibilities** - Set and execute enterprise AI strategy, ensuring alignment with business objectives. - Build, lead, and inspire a new AI organization, consolidating existing expertise. - Drive adoption of advanced AI (generative, agentic, operational) across business units. - Guide the organization on identifying and prioritizing AI initiatives that deliver measurable commercial advantage. - Establish standards, governance, and best practices for responsible AI use. - Communicate vision, progress, and results to senior stakeholders. **Required Skills** - Proven leadership in defining and delivering enterprise AI strategy, including GenAI. - Deep understanding of AI platforms, MLOps, and modern AI tooling (conceptual expertise, not hands‑on). - Demonstrated ability to translate AI opportunities into commercially impactful use cases at scale. - Exceptional communication, influence, and stakeholder engagement at senior levels. - Experience building and scaling new teams, elevating organizational AI capability. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s or equivalent experience preferred). - Professional certifications in AI, MLOps, or AI governance are an advantage.
London, United kingdom
On site
29-12-2025
Company background Company brand
Company Name
Data Idols
Job Title
Python Data Engineer
Job Description
**Job Title:** Python Data Engineer **Role Summary** Design, build, and optimize scalable data infrastructure and pipelines to drive business insights and revenue strategies. **Expectations** Deliver reliable data ecosystems through engineering expertise, analytics, and collaboration with cross-functional teams. **Key Responsibilities** - Build, optimize, and maintain end-to-end ETL/ELT pipelines using APIs, SFTP, and cloud orchestration tools. - Develop scalable data models for commercial, programmatic, and revenue operations. - Enhance big data infrastructure for high-volume, multi-source data processing. - Create and refine dashboards to support KPI-driven decision-making. - Ensure data quality, accuracy, and consistency across datasets. - Analyze performance metrics for campaign, monetization, and platform optimization. - Collaborate with analytics, product, and commercial teams on strategic data projects. - Generate actionable insights through advanced data modeling and reporting. **Required Skills** - Proficiency in Python/PySpark with experience creating utility packages. - Cloud platform experience (GCP: BigQuery, Compute Engine, Kubernetes; AWS: Redshift, EC2). - ETL/ELT pipeline development and API/SFTP integration expertise. - Data modeling, warehousing, and big data environment experience. - Strong analytical skills with problem-solving agility. - Cross-team collaboration and project management capabilities. **Required Education & Certifications** Bachelor’s degree in Computer Science, Data Science, or related field. Relevant cloud or data engineering certifications advantageous.
London, United kingdom
Hybrid
13-01-2026