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We're making energy fair, clean, and simple for all using technology. Octopus Energy started with a bold idea: to build Britain’s first truly digital energy supplier. By combining world-class tech with brilliant…
Designs and maintains cloud-based data pipelines and Snowflake transformations to support ML/AI model training and deployment, using Python, SQL, and AWS-native services.
A contractor builds reusable Databricks-based platform capabilities and data products so quantitative researchers can discover, access, and productionize data. Day-to-day work spans Databricks, Python/SQL pipelines, Terraform IaC, Airflow orchestration, Unity Catalog governance, and AI-agent-driven development.
About Intus Care: IntusCare is the only end-to-end ecosystem built specifically to help Programs of All-Inclusive Care for the Elderly (PACE) programs deliver exceptional care, strengthen financial performance, and…
Description Our client is a financial technology company that powers how investment research is created, distributed, consumed, and analyzed. Trusted by many of the world's leading financial institutions, they are…
Builds and operates ShipMonk's modern data platform (Snowflake, dbt, Airflow, Terraform, AWS) for a logistics company processing up to 100k orders/day: enabling self-serve data for domain teams via Data Mesh, enforcing data reliability SLOs, optimizing compute costs, and migrating legacy data flows.
Builds ShipMonk's AI capability in Prague as an internal technical consultant: partners with departments like HR, Sales, Marketing, and Operations to uncover real problems, then designs and ships AI/data solutions end-to-end from prototype to production. Core stack includes Python, SQL, Snowflake, Airflow, and AI tooling like Pydantic AI and Langfuse.
Builds and maintains high-throughput, mission-critical data pipelines for billing, cost attribution, and revenue systems at scale using Spark, Airflow, and related tools.
Senior Data Engineer to independently own the data platform: building Airflow orchestration and batch/streaming pipelines, developing ClickHouse data marts for risk/financial reporting, evolving a PostgreSQL ODS, and cleaning up legacy processes. Stack: Airflow, ClickHouse, Kafka, PostgreSQL, MySQL, S3/MinIO, Python. Fully remote.
The role Help shape the future of our games by turning player behaviour data into decisions that improve player experience and commercial success. As a Senior Data Scientist, you will help us make sense of our raw game…
Design, build and operate petabyte-scale data pipelines and infrastructure on Google Cloud Platform, using BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow) and Pub/Sub, while ensuring data quality, security and CI/CD best practices for enterprise and government projects.
Design and deploy AI/ML systems, including LLM-based and RAG architectures, for a federal data ecosystem while optimizing models and infrastructure on cloud platforms.
80 Beats Medical is a Berlin-based medical technology company developing innovative solutions for cardiovascular and vascular diagnostics. Our VICORDER® platform enables non-invasive assessment of vascular health…
Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization Analyze and fully understand existing data models, tables, workflows, and processing jobs Identify…
Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with…
Dans le cadre du développement de nos activités et de l’accompagnement de nos clients, nous recherchons un Data Engineer H/F. Vous intégrerez une équipe Data et interviendrez sur des problématiques liées à la collecte,…
Junior data engineer at TransMarket Group, a Chicago-based proprietary trading firm, building and supporting production data pipelines, databases, services, and tools for trading, reporting, and research. Core stack: Python, SQL, Linux, Git, REST APIs, and Docker.
Role Overview We are looking for an experienced Senior Webscraping & Data Engineer to build scalable systems for collecting data from diverse online sources. The role focuses on reliable, high-performance…
Engineer builds and runs a bank's centralized MLOps platform: model training/inference pipelines, feature store, AutoML, RAG/LLMOps and AI document processing. Day to day is configuring and scaling BigData/DevOps infrastructure — Spark, Kafka, PostgreSQL, Airflow, Docker/Kubernetes/OpenShift, Jenkins, Python.
Remote Python backend developer (based in Latin America) building large-scale data collection and processing services, web scraping solutions (Playwright, Scrapy, LLM-backed), and customer-facing APIs with Flask/FastAPI, serving big datasets at sub-second latency.
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