9 engineer English-speaking jobs in Beja

— ELT/ETL, orchestration, batch/streaming, data quality - Data Platform Engineer — landing zones, IaC ... with a clear ambition across analytics, governance, and artificial intelligence.Open positions:- Data Engineer ... data-driven insights - Data Governance Lead — data catalog, lineage, stewardship, access management - ML Engineer ... observability, FinOps - Data Architect — target data architecture, integration patterns, standards - Analytics Engineer

Introduction & Summary:We are seeking a skilled Data Engineer to join our team for an exciting project ... fostering collaboration and innovative solutions in data engineering.Main Responsibilities:As a Data Engineer

We are looking for an Amazing:Data Engineer Seniority: +4 Type of position: Full RemoteThe amazing you ... Bachelor's degree in Computer Science, Software Engineering, or a related field; At least4 years as a Data Engineer

Non‐Negotiable) Strong expertise inDataikuand workflow development; More than 5 years working asData Engineer

Cloud Engineer to design, run, and automate Azure infrastructure using Terraform and Terragrunt. Build CI/CD pipelines with GitHub Actions, focusing on scalability and reliability.

AWS Data Engineer to design and implement cloud-based data pipelines using AWS services (S3, ECS, Lambda, RDS, IAM). Develop using Python and data libraries, transform raw data, and orchestrate workflows with tools like Airflow/Step Functions and IaC.

We support their skill enhancement and provide genuine career advancement opportunities.As a Network Engineer

Support and improve cloud environments and infrastructure services. Assist in monitoring system performance and security. Collaborate with teams to automate deployments and troubleshoot incidents.

Experienced Kotlin/Java Backend Developers sought to design, implement, and maintain robust, scalable backend solutions. Contribute to the entire software development lifecycle in an Agile environment. Expertise in Terraform, unit testing, Git, CI/CD pipelines, Kafka, Kubernetes, GraphQL Federation, and Azure Cloud environments is required.