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Data Engineer - Marketing Digital & eCommerce H/F - CDD 3 mois - Paris (17ème)
Build and maintain web analytics dashboards, automate data pipelines, run A/B tests, and develop predictive sales models for Rexel’s eCommerce site using Qlik, Python, and Google Analytics 4.
Data engineer / IA – Domaine électronique (H/F)
Build and maintain scalable AWS-based data pipelines for semiconductor analytics, feeding forecasting and ML models while ensuring data quality and collaborating with cross-functional teams.
Data Engineer – Plateforme Skywise (H/F)
Build and optimize data pipelines for aircraft fleet analytics on the Skywise platform, transforming raw time-series data into predictive maintenance insights using Python, Spark, and SQL.
Senior AI/ML Engineer (Remote)
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
Senior Annotation and Data Pipeline Manager
Senior Annotation and Data Pipeline Manager Department: Operations Location: Bay Area Employment Type: FullTime About Genesis We are a full-stack general-purpose robot company, born across San Francisco and Paris and…
Staff AI Engineer - Tangerine
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
Healthcare Claims Data Analyst (Remote)
Analyze healthcare claims data to detect fraud, waste, and abuse using SQL and Python, translating partner requests into analytics against a multi-billion record claims warehouse.
Middle Data Engineer
Build and maintain scalable data pipelines in Airflow using Python, design analytical data models, and validate datasets for BI reporting in a cloud-based environment.
Data Engineer
Designs and scales cloud-native data platforms in BigQuery and ClickHouse, builds automated ETL/ELT pipelines, and ensures reliable, high-performance data infrastructure for analytics and ML across global markets.
Data Engineer
Build and maintain high-throughput data pipelines for a credit-scoring platform, using Python, PySpark, SQL, and Airflow to process large volumes of financial data.
Junior Machine Learning Engineer (Data Platform) @ Grupa Allegro Sp. z o. o.
Build and maintain large-scale ML platforms and AI solutions for Allegro’s 10M+ user marketplace using Python, PyTorch, and Google Cloud’s Vertex AI and Kubernetes.
Data Engineer @ Antal
Build and optimize cloud-based data pipelines and warehouses using SQL, Python, and Snowflake/Redshift/BigQuery to enable scalable analytics and reporting.
Lead Python Developer @ Mindbox Sp. z o.o.
Lead a Python team building and maintaining libraries and CI/CD pipelines for credit-risk modelling toolkits, mentoring developers and collaborating with risk analysts to streamline global model deployment.
C# Developer - Risk Technology
Develops and optimizes risk systems for a proprietary trading firm using C#, .NET Core, and modern backend technologies while collaborating with traders and engineers.
Quantitative Trading Analyst
Designs and maintains Python-based analytics tools to measure trading performance and identify alpha opportunities for a proprietary trading firm in London.
Lead Data Scientist
Lead a team to build and deploy NLP models and ML systems using Python, SQL, and Spark for data-driven legal insights and reporting.
Software Engineer - Development Services
Develop and maintain data-analysis tools in Python/MATLAB for aerospace test engineers, integrating mathematical models into software used across aircraft programs like A330 MRTT and Eurofighter.
Data Analyst: Analytics and Visualization
Build interactive Power BI dashboards and data stories to turn complex telecom/network data into executive insights and operational KPIs.
Senior credit risk data scientist
Build and refine ML credit-risk models for African SME lending, ensuring explainability and fairness while adapting models to new markets and data sources.
Senior data analyst
Senior data analyst builds and maintains Power BI dashboards, cleans and processes large datasets in Azure, and delivers data-driven insights to stakeholders using Python, SQL, and ETL pipelines.