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Build and maintain a live insurance platform handling policy processing, compliance, and reporting using Python, PostgreSQL, and Temporal workflows.
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Builds and maintains scalable .NET backend APIs and Azure services for a logistics company, focusing on performance, messaging, and integration with modern Microsoft technologies.
Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
Build and optimize high-performance data pipelines for crypto trading, ingesting and processing market data with Python, Rust, and distributed systems like Kafka and ClickHouse.
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Build and maintain Airflow-based data pipelines that ingest financial market data, automate reporting, and deploy across cloud environments using Python, SQL, and AI coding assistants.
Build and maintain scalable cloud data platforms and pipelines using Python, Spark, Kafka, and Airflow for analytics and ML at leading organizations.
Build and maintain scalable PySpark data pipelines on Databricks, orchestrating workflows with Python and Airflow to deliver reliable analytics-ready data.
Build cloud-native data pipelines and platforms for AI products using Python, SQL, Airflow, and GCP, processing billions of records to feed ML models.
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
We are looking for a Software Engineer to join our Data Integration team in Amsterdam. The Data Integration team builds and operates the platform that moves data into, through, and out of Samba TV: ingestion from…
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
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