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Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Design and automate big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models, ensuring performance and security in a defense context.
Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
Build and maintain a high-stakes data platform using Spark, Kafka, Scala/Java, and DevOps tools to deliver real-time and batch data pipelines and REST APIs.
Build and optimize data pipelines and infrastructure for Owkin K, an AI co-pilot that uses agentic AI to accelerate biomedical research and drug discovery.
Build and optimize data pipelines for a mobility startup, integrating client data with AI-driven workflows to automate onboarding and scale infrastructure.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Designs and maintains cloud and hybrid infrastructures with a focus on Kubernetes (EKS), migrating workloads from ECS and automating deployments with observability via Prometheus, Grafana, and ELK.
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.
You’ll run and harden Azure cloud platforms for a Bordeaux client, automating ops, improving observability tools, and keeping production environments stable and performant.
You’ll run and harden Azure cloud environments for a Bordeaux-based client, automate ops tasks, and build monitoring dashboards with Prometheus, Grafana, and ELK.
Administers and optimizes the ELK stack (Elasticsearch, Kibana, Logstash) for log collection and monitoring, automates production processes, and supports a migration to internal cloud for a transport-sector client.
Build and secure cloud-native AI/ML pipelines on AWS for an aerospace group’s data factory, automating CI/CD, enforcing DevSecOps, and operating Kubernetes clusters.
Engineer cloud and DevOps infrastructure for enterprise clients, automating hybrid cloud (Azure/AWS) deployments with Terraform and Kubernetes, and running CI/CD pipelines.
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