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Builds and maintains cloud data warehouses and pipelines using SQL, dbt, and Snowflake/BigQuery to deliver clean, reliable datasets for business analytics and reporting.
How many people can answer the question, "What do you do for a living?" with the answer, "I help find cures for cancer." At Blood Cancer United, employees take our mission seriously. Whether you work in…
What you will do: The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward. Sitting at the…
Summary The Senior Machine Learning Engineer, AI Evaluation builds and operates the measurement and engineering infrastructure supporting the organization's Applied AI Research (AAIR) function, a continuous…
Cloud Data Engineer at BIP's xTech center building and managing Big Data/cloud platforms, implementing batch and real-time data pipelines, optimizing ML models for scalable execution, and providing technology advisory to clients.
Data Engineer in the sports betting industry working with a quant team to build Python-based data workflows, ensure data quality, and support quantitative analysis using tools like PostgreSQL and SQL.
Senior AI Engineer building end-to-end AI solutions (data prep to production) on GCP for a retail/consumer goods company in Barcelona, using Python, SQL, BigQuery, Vertex AI, LLMs, and RAG architectures applied to CRM, loyalty, ecommerce, and marketing.
Data Engineer building and maintaining GCP/BigQuery data pipelines (ETL/ELT, batch, and real-time) using Python, SQL, dbt, and Prefect for a multinational retail company in Barcelona.
Builds and maintains data pipelines (Airflow, ETL) to process real-time pharmacy transaction data, enabling AI-driven predictive insights for personalized promotions in the healthcare sector.
Are you a data-driven innovator ready to shape the future? La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los…
Lead Data Analyst partnering with clients to design marketing analytics strategies, build predictive/segmentation models, and translate multi-channel data into business outcomes using Python, R, SQL, and ML techniques.
Mobile Software Engineer at On Me, a startup building a digital gifting platform. The role involves designing and building native iOS and Android apps, owning mobile experiences from architecture to UI, and working on features like mobile wallet integrations and API connections.
This job requires Japanese language ability. JD is available in Japanese only. Treasury Specialist / トレジャリースペシャリスト – Mercari 雇用形態： 正社員 働き方： フレックスタイム制（コアタイムなし） 勤務地： 六本木 詳細はキャリアサイトの募集要項よりご確認ください メルカリグループについて…
Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Build and productionise dynamic pricing models, elasticity forecasts, and causal-measurement toolkits to set prices across Klook’s travel products and markets using Python, SQL, and ML.
Data Project Manager analyzes food-service operations using BI tools, SQL, and Python to build dashboards and forecasts that drive efficiency and reduce waste.
Rabbit helps enterprises cut their GCP spend — and the difference between a customer who saves millions and one who churns is the engineer standing next to them during adoption. We’re hiring a Customer Engineer to be…
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Designs and governs Dyson’s enterprise data architecture, leading cloud-based data solutions (GCP, BigQuery, Airflow) to enable analytics, AI, and business strategy across global operations.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
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