Progettare e sviluppare pipeline per l'acquisizione e l'integrazione dei dati provenienti dai diversi sistemi sorgente verso la piattaforma dati
Costruire e mantenere tabelle storicizzate e processi di trasformazione, gestendo tracciati, chiavi, dimensioni storicizzate (SCD2) e regole di qualità del dato
Gestire l'orchestrazione e il monitoraggio dei flussi di caricamento, intervenendo in caso di errori, ritardi o necessità di riesecuzione e contribuendo all'ottimizzazione dei costi
Configurare e gestire gli ambienti di sviluppo, test e produzione, occupandoti di versionamento tramite Git, processi CI/CD e test automatici sui dati
Collaborare con il team Data alla definizione del modello dati e del modello semantico di Fruttital
Requirements
Nice to have: Microsoft Dynamics 365 Finance & Operations
Lead the development and governance of GSK Medical’s AI Context Layer and associated data products, driving strategy, roadmap, and adoption across global medical teams.
Responsibilities
Own the strategy, roadmap and backlog for the Medical AI Context Layer
Define and deliver a governed semantic layer linking medical objectives, tactics, evidence, content and engagement
Drive adoption of medical data products and the AI Context Layer to reduce time‑to‑insight
Champion the voice of Global Medical Teams and Local Operating Companies through continuous user research
Set success metrics, prove value through proofs of value and track KPIs
Requirements
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics or related discipline
Research, design, and develop computer and network software or specialized utility programs
Drive key architecture and infrastructure initiatives with various networking, cyber security, and infrastructure as code teams
Build accounting and finance platform within existing platforms
Develop cloud container / environment(s) dedicated to Health Accounting – Azure to start (GCP, AWS if required for cost control purposes) using Terraform
Spin up on-prem servers to increase flexibility and reduce dependence on on-prem solutions
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Locations (2)
Sofia, Sofia-Capital, Bulgaria
Bulgaria
Compensation
The starting salary for this position is 50,000 EUR
Responsibilities
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Develop and enhance data quality frameworks, monitoring and validation processes to ensure accurate, timely and trusted data.
Partner with business, senior stakeholders and technology teams to translate requirements into effective data solutions and challenge assumptions where needed.
Contribute to solution architecture and technical design, owning delivery from discovery through to implementation and ongoing support.
Collaborate with central data, platform and engineering teams to ensure alignment with enterprise standards and strategic objectives.
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Compensation
Salary range starting from 45,000 EUR
Responsibilities
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Develop and enhance data quality frameworks, monitoring and validation processes to ensure accurate, timely and trusted data.
Partner with business, senior stakeholders and technology teams to translate requirements into effective data solutions and challenge assumptions where needed.
Contribute to solution architecture and technical design, owning delivery from discovery through to implementation and ongoing support.
Collaborate with central data, platform and engineering teams to ensure alignment with enterprise standards and strategic objectives.
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Compensation
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning.
Responsibilities
Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
Develop and enhance data quality frameworks, monitoring and validation processes to ensure accurate, timely and trusted data.
Partner with business, marketing and technology teams to translate requirements into effective data solutions and challenge assumptions where needed.
Contribute to solution architecture and technical design, owning delivery from discovery through to implementation and ongoing support.
Collaborate with central data, platform and engineering teams to ensure alignment with enterprise standards and strategic objectives.
The AI Data Leader spearheads the organization's data and AI strategy, aligning it with business goals and product priorities in a player–coach capacity that blends technical depth with strategic vision while mentoring and developing teams.
Responsibilities
Define and drive the organization's Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent.
Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership.
Establish and grow regional delivery centers serving MENA, UK & Europe.
Lead the AI/ML lifecycle from research and prototyping through deployment and monitoring to improve detection accuracy, reduce false positives and uncover new use cases.
Create and scale unified DataOps, BI/DW and AI teams for Advanced Analytics using agile practices across tools, code and cloud infrastructure.
The AI Data Leader spearheads the organization's data and AI strategy, aligning it with business goals and product priorities in a player–coach capacity that blends technical depth with strategic vision while mentoring and developing teams.
Responsibilities
Define and drive the organization's Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent.
Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership.
Establish and grow regional delivery centers serving MENA, UK & Europe.
Lead the AI/ML lifecycle from research and prototyping through deployment and monitoring to improve detection accuracy, reduce false positives and uncover new use cases.
Create and scale unified DataOps, BI/DW and AI teams for Advanced Analytics using agile practices across tools, code and cloud infrastructure.
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