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Build and ship AI-powered learning loops, recommendation systems, and ML infrastructure to make Clay’s product smarter for every customer.
Senior Data Engineer (AI & Products) Madrid | 🧑 Hybrid | Full-time | Permanent contract At TeamSystem, we help thousands of freelancers, SMEs, and accounting firms across Spain manage their businesses efficiently…
Builds and maintains data pipelines, models, and APIs for a grid-planning platform that unifies messy energy datasets and enables AI-assisted grid operations.
Build and maintain data pipelines, models, and APIs for an AI-powered grid-planning platform, handling messy energy datasets and enabling reliable infrastructure decisions.
Lead a team to design, build, and deploy production-grade data pipelines and AI-enabled solutions on cloud platforms like Databricks, Snowflake, or AWS, using DataOps practices and modern orchestration tools.
Build and tune Snowflake-based data platforms, automate ETL/ELT pipelines with Airflow or Dagster, and manage cloud infrastructure using Terraform for a global financial-services firm.
Lead a 5–7 person team to design, build, and scale low-latency data infrastructure for a high-frequency trading firm, using Python, Java, Kafka, and Delta Lake/Iceberg.
Build a new civic-engagement data-visualization product from pilot to GA, designing secure backend services, interactive maps, and responsive UIs while raising engineering standards across the org.
Build and deploy predictive models (turnout, partisanship) using voter files and large datasets to guide civic campaigns, while mentoring junior team members and collaborating with engineering/product teams.
Designs and maintains data pipelines and warehouses for a telecom company, using Python/Java and distributed systems like Hadoop/Flink.
Designs and maintains scalable data pipelines and infrastructure for a telco provider, collaborating on architecture decisions and platform roadmaps; core techs: Python/Java, Hadoop, Flink, Airflow/Dagster.
Build and scale the data pipelines and infrastructure that power Otter.ai’s AI-driven meeting transcription and insights platform, using cloud tools like AWS, Snowflake, and Kafka.
Build and maintain data pipelines in BigQuery and SQLMesh to power creator payouts, revenue reporting, and product analytics for a music-creation platform.
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Design and build scalable cloud data platforms on AWS, Azure, and GCP using Snowflake, Databricks, and streaming tools to deliver real-time analytics and automated decision-making for enterprise clients.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and own Ziina’s data pipelines, warehouse, and analytics stack from scratch using Snowflake, Dagster, dbt, and Python to power decision-making and future ML/AI at a fast-growing fintech.
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Build and maintain data pipelines, automate integrations, and help scale a cloud data warehouse for a grid-scale energy storage company using Python, SQL, and cloud services.
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