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Senior Data Engineer
Senior Data Engineer builds and modernizes scalable data pipelines and dbt models to power a global e-commerce platform, migrating legacy systems and enabling data-driven decisions across brands and markets.
Geospatial Data Engineer
Build and maintain data pipelines for geospatial, weather, and crop data to power DNEXT’s agricultural market intelligence platform.
Quantitative Data Engineer
Build and maintain data pipelines and features for quantitative trading models using Python, C++, and Spark, collaborating closely with researchers to automate data extraction and cleaning.
Geospatial Data Engineer: Weather & Satellite Pipelines
Build and maintain cloud-based data pipelines for environmental and satellite data using Python (pandas, xarray, rasterio, geopandas) and GIS tools to support crop analysis and client deliverables.
Data Engineer (Alternance)
Build and optimize data pipelines for a mobility startup, integrating client data with AI-driven workflows to automate onboarding and scale infrastructure.
Consultant Data Engineer
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Ingénieur DevOps Data/IA – H/F
Build and automate CI/CD pipelines, deploy full-stack applications, and maintain cloud-based data/ML platforms for satellite operations and industrialization at a space systems leader.
Développeur Full stack
Build and maintain full-stack apps integrating AI modules (RAG, agents) using React, Node.js, and Python; design scalable APIs, manage data pipelines, and deploy on cloud.
Quantitative Python Developer for Trading ML & Signals
Build and maintain ML-driven predictive models for automated trading systems using Python and Pandas, collaborating with research teams to ensure code quality.
Python Developer (IA) - Machine Learning ID #00335
Builds NLP models in Python to extract and reconcile financial data from documents using OCR, fuzzy matching, and LLMs, then deploys them as REST APIs on Azure.
Senior Data Analyst e-Health (m/w/d)
Gestalte mit uns die Zukunft von e-Health als Data Analyst (m/w/d) Wir von docmetric suchen ausgezeichnete Data Analysts, die von unserer Mission "Niemand soll leiden oder gar sterben, nur weil einmal irgendwann,…
Mathematician as Data Scientist - Design & Maintain Robust Data Pipelines (f/m/d)...
Build and maintain data pipelines feeding real-time energy, weather, and asset data into predictive models for trading strategies across European electricity markets.
Data Analytics Engineer
Build and maintain Doodle’s analytics platform using dbt, SQL, and Python to create trusted data models and metrics that power product decisions, experimentation, and reporting across the B2B SaaS company.
Senior Fullstack Enginer (Python & React)
Build and integrate a Python-based passenger flow model with a React UI and APIs, optimizing performance for large-scale transport systems.
Senior Backend Engineer for AI‑Driven Systems (Remote)
Senior backend engineer building scalable APIs and data pipelines in Python/FastAPI to power AI-driven products, integrating with cloud services and message brokers.
Senior Full Stack Backend Engineer
Build and maintain high-performance backend APIs in Python/FastAPI, integrate systems via RabbitMQ, and design scalable ETL pipelines for AI-driven products on Azure/GCP.
Freelance Machine Learning Developer (Python)
Freelance role designing STEM-based computational problems in Python to train and evaluate Generative AI models, using libraries like numpy and pandas.
Python Developer
Build RESTful APIs with Litestar, integrate OpenAI and third-party services, and develop data ingestion pipelines using web scraping and parsing tools.
DevOps Engineer
Build and operate modern data platforms and DevOps pipelines for clients using cloud tools, Spark, and CI/CD, collaborating with cross-functional teams to deliver scalable solutions.