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Data Engineer MLE
Data Engineer / MLE designing and operating end-to-end data and ML pipelines for clinical trials and pharma operations at Insud Pharma's AI Labs, using Python, Docker, cloud (AWS/Azure), and MLOps tooling.
Senior Software Engineer, Data
Build and operate CLEAR’s next-gen data platform, designing scalable pipelines and self-service tools to power secure identity products while ensuring privacy, reliability, and cost efficiency.
Senior Software Engineer, C/FICCO Data
Senior Software Engineer in the C/FICCO Data Engineering team developing data solutions and scalable infrastructure for trading operations. Works with Python/Java/C++, Kafka, Airflow, and data lake platforms to design batch and real-time streaming systems.
Senior Full Stack Developer ID71007
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Lead Data Engineer ID71008
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Data Engineer / Datu inženieris(-)
Location: Rīga,Rīga,Latvia Wandoo Finance is a consumer lending fintech headquartered in Latvia, operating in Poland, Spain, Romania, Peru, and now Lithuania. Five markets, growing fast, with a product range that keeps…
Senior Data Analyst - Payments
About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will be…
Principal Software Engineer, Data Engineering
Lead a team of Data Engineers at Roblox to define data ontology, build batch/streaming pipelines, and develop scalable analytics frameworks using SQL, PySpark, Scala, and cloud platforms.
Senior Full Stack Developer ID71007
Senior Full Stack Developer building backend services (Python FastAPI/Flask) and frontend (React/TypeScript) for a marketing analytics platform, handling data from ETL, data lake, and ML models. Core technologies: Python, FastAPI/Flask, React, TypeScript, PostgreSQL.
Senior Machine Learning Operations Engineer
Build and operate real-time ML inference services for fraud and financial crime risk decisions, manage model deployment infrastructure, observability, and lifecycle at Mercury's fintech platform.
Praktikum - Political Data Engineering (w/d/m)
Deine Aufgaben Konzeption und Umsetzung kreativer Datenprodukte für Kunden aus dem politischen Umfeld, darunter Parteien, Verbände, Ministerien und NGOs Datensammlung über APIs: Entwicklung und Pflege von Skripten, die…
Senior Data Infrastructure Engineer - Kafka, ClickHouse, Cloud
Design and operate large-scale data processing systems using Kafka, Spark, ClickHouse, and Dagster, optimizing performance and costs while collaborating with data, ML, and product teams.
Senior Software Engineer - Data Infrastructure
Design and operate data infrastructure including Kafka pipelines, ClickHouse databases, and batch jobs with Dagster using Python or Rust.
Data Engineer Snowflake F/H - Système, réseaux, données
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Lead Data Engineer - Architecture & Scalabilité
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
Cloud Data Engineer - Paris
Design and develop scalable big data solutions and Spark applications on client cloud platforms. Optimize ETL processes and maintain data pipelines using Python, Kafka, Airflow, and Dagster.
Cloud Data Engineer - Spark, Pipelines & Data Mesh
Design and deploy data solutions from collection to modeling, building Spark pipelines and leveraging cloud services (AWS/GCP/Azure) in a big data environment.