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Lead Infrastructure Engineer
Lead the greenfield Kubernetes-native infrastructure for a new integration product, owning clusters, IaC, Kafka, identity, and observability across hybrid cloud and on-prem environments.
Expert Developer – Data Analytics & Data Engineering - REF5086I
Design and build a modern Lakehouse data platform on Azure using Databricks, Delta Lake, and Spark, migrating from legacy warehouses while coaching teams on best practices.
Senior Test Analyst (Privileged Access Management)
Senior Test Analyst designs and runs security-focused tests for Privileged Access Management tools like CyberArk and BeyondTrust, validating account discovery, vaulting, JIT access, and session monitoring in a government cybersecurity program.
Full Stack AI Engineer (Generative AI) — Singapore
Build and deploy generative-AI applications (LLM chatbots, agents, RAG pipelines) on Azure/OpenAI, turning healthcare and insurance data into production-grade AI services with robust governance.
Azure Technical Architect
Designs and leads Azure-based cloud solutions, focusing on App Services, AKS, Functions, and DevOps pipelines for enterprise integration.
Snowflake Data Architect - Wembley
Designs and builds Snowflake-based data warehouses using Data Vault 2.0 and dimensional modeling, integrating with AWS and dbt while enforcing Git-based source control.
Development & Product Management Software Architect Cork, Ireland
Designs and leads the architecture of a cloud-based SaaS platform using Microsoft/.NET and Azure, focusing on scalability, security, and sustainability for enterprise customers.
IT Data Engineer (Snowflake)
Designs and builds scalable Snowflake data solutions for analytics and AI, including pipelines, semantic layers, and Cortex-enabled features using SQL, Python, and modern data-warehousing practices.
Electronic Security Technician
Maintains and services electronic security systems (Lenel, DMP, Milestone CCTV) and high-security locks for a DoD contractor in Washington, DC, ensuring compliance with federal standards.
Data Engineer (BigQuery / GCP) (m/f/d)
Build and optimize BigQuery datasets and ETL pipelines for Commerzbank’s cost-processing systems, ensuring performance, cost control, and data quality in a hybrid GCP environment.
Senior Azure DevOps / Legacy Migration Engineer
Senior engineer migrating legacy systems to Azure and automating CI/CD pipelines using Azure DevOps tools.
CTG IT Solutions - DevSecOps Engineer
Design and automate secure, scalable infrastructure and CI/CD pipelines using Kubernetes, Ansible, and GitLab to deploy enterprise applications like Jahia.
Senior Data and AI Solution Architect
Designs and leads end-to-end Azure-based data, analytics, and AI solutions, including Power BI, Databricks, and Azure OpenAI, ensuring security, scalability, and governance.
Data Engineer Pleno
Builds and optimizes data pipelines using PySpark, Azure Databricks, and SQL to process and store data in cloud environments like ADLS Gen2 and Oracle.
Sr. Data Engineer - Integrations
Senior Data Engineer builds and optimizes enterprise-scale data pipelines using Spark, Scala, and Microsoft Fabric to integrate and process large datasets for analytics and decision-making.
Data Engineer - Analytics Platform (m/f/d)
Build and maintain Medgate’s cloud data platform using Azure Databricks, dbt and Power BI to turn telemedicine data into trusted insights for doctors and patients.
Solutions Architect, AI & Data
Design and implement large-scale data architectures and cloud solutions for enterprise clients, leveraging AI/ML platforms like Databricks and Snowflake.
(Senior) Data Engineer-1
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Lead Data Engineer
Lead a team to design, scale, and govern a retail-focused common data model, integrating POS/ERP/CRM data and embedding GenAI to automate pipelines and improve data quality for BI and AI teams.
AI DevOps Engineer (MLOps & Cloud)
Build and maintain cloud infrastructure and CI/CD pipelines for AI/ML systems, automate deployments, and ensure scalable, secure, and observable production environments.