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Ingénieur SysOps DevOps – Cloud Privé & OpenShift
Administers and optimizes critical private cloud and OpenShift infrastructure with Linux/networking focus; automates ops via CI/CD, Terraform/Ansible, and monitors with Centreon/ELK.
Ingénieur DevOps Production — Automatisation & Cloud
DevOps engineer automating and optimizing clients' IT production environments using tools like Jenkins, Ansible, Terraform, Docker, and Kubernetes, collaborating directly with clients to deliver tailored solutions.
Ingénieur DevOps
Build the DevOps/SRE foundations for a fast-growing European sports-tech platform, migrating to GitOps and IaC while ensuring reliability and observability of Kubernetes and database infrastructure.
Développeur full stack Java sénior - CDI - Lille F/H - Informatique industrielle
Senior full-stack Java developer designing scalable applications, collaborating on architecture, and ensuring code quality for industrial IT clients in Lille.
Senior Data Engineer – Cloud-Native Pipelines Snowflake AWS
Builds and maintains scalable cloud-native data pipelines in Snowflake/AWS, focusing on ETL/ELT, data modeling, and quality for a 6-month contract role.
Senior Developer, Data Engineering – 6 Months Contract
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
Lead Data Engineer
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Data Platform Engineer
Build and own a greenfield enterprise data platform using Snowflake, Python, and modern ELT pipelines to power analytics and AI for Race Roster’s health and fitness products.
Data Engineer III, Tim Hortons, Canada
Builds and maintains scalable data pipelines and platforms using Python, Apache Spark, AWS, and Snowflake to process large datasets and enable business analytics for a global QSR brand.
Fullstack Developer
Develops full-stack applications on Azure WebApps using Angular/React, integrates data pipelines with Azure Databricks, and manages microservices with Docker/Kubernetes. Focuses on CI/CD automation and cloud infrastructure as code.
DevOps IA
Build and maintain cloud-native AI infrastructure, CI/CD pipelines, and MLOps tooling to deploy AI models to production, using AI-assisted coding tools.
DevOps Lead
Lead a team to design, automate, and maintain CI/CD pipelines and cloud infrastructure on GCP, ensuring scalable, secure, and reliable software delivery.
DevOps Lead
Lead DevOps strategy, automate CI/CD pipelines, and manage cloud infrastructure using tools like Kubernetes, Terraform, and AWS/Azure to ensure reliable software releases.
Devops Developer
Lead the design and operation of Azure Kubernetes platforms and CI/CD pipelines for cloud-native retail and eCommerce systems, using Terraform, Helm, and observability tools.
Full Stack Developer
Builds and deploys enterprise-grade full-stack applications using React.js, Node.js, and cloud-native architectures (AWS/Azure) with ownership from design to production support, including microservices, security integrations, and mentorship.
Senior Full-Stack Developer – Node.js / React
Leads full-stack development for fintech products, designing scalable Node.js APIs and modern React apps while mentoring junior devs and guiding technical direction in ambiguous scenarios.
Data Intelligence Platform Engineer
Builds and scales a production-grade ML/MLOps platform for 300+ data scientists across 60+ teams, focusing on Databricks MLOps and AWS SageMaker infrastructure.
Orchestration Data Engineer - ETL/ELT on Big Data Platform
Builds and maintains automated data pipelines to ingest, transform, and deliver data from sources like Kafka/S3/BigQuery, enabling teams to derive insights with SQL/Python and Terraform-managed infrastructure.
Data engineer Poland
Builds and maintains a self-service ETL/ELT orchestration platform for Nordstrom, abstracting big data complexity (Kafka, S3, GCS, BigQuery, Postgres) to enable data scientists/analysts to extract insights efficiently. Focuses on cloud infrastructure (GCP/AWS), Terraform, Airflow, and data governance tools like dbt and Kafka.