GCS Recruitment
Open positions
Senior Fullstack Engineer x2
Six-month contract (inside IR35, £450/day) via GCS Recruitment for an established energy company: build scalable React/TypeScript front-ends with Python, deployed on Azure and integrated with LLM-based and agentic AI services. Hybrid, 2 days a week in London.
Senior React Full-Stack Engineer: Azure Cloud & AI
Senior full-stack engineer designing and delivering scalable web applications with React and Python, deployed on Microsoft Azure (AWS as fallback). Day to day involves collaborating with backend, cloud, and AI teams on large-data and AI-driven components, performance optimisation, and deployment pipelines.
Full Stack Engineer - Front End - AI
Senior fullstack developer role in London building scalable, high-performance React front-ends that integrate AI/LLM and agentic services, deployed to Microsoft Azure (AWS acceptable) using Docker and CI/CD. You'll collaborate with backend, cloud, and AI teams on apps handling large data volumes.
Senior Full Stack Developer
Senior Full Stack Developer building AI-powered web applications on Microsoft Azure for an enterprise Agentic AI programme — designing React front ends and Python/TypeScript back ends, integrating LLM-based services, APIs and microservices, and deploying with Docker and CI/CD. Hybrid role based in London.
Lead Analytics Engineer — Build Scalable Data Solutions (Hybrid NL)
Lead a growing data & analytics function in the Netherlands (hybrid): build scalable datasets, data models, and dbt transformation pipelines, set analytics engineering standards and governance, and mentor analytics engineers. Core stack includes SQL, dbt, and a modern cloud data stack.
Senior Data Engineer
12-month hybrid contract in Dublin building and maintaining ETL/data pipelines into centralised data platforms for a large, regulated organisation. Core stack: PySpark/Spark, SQL (SQL Server), Azure Databricks, Snowflake, and orchestration with Azure Data Factory or Airflow, plus data governance and CI/CD.
Data Engineer
6-month contract Data Engineer (hybrid, 2 days on-site in Cork) joining a multinational's cloud data platform transformation, building batch/streaming lakehouse pipelines that power analytics, ML and AI products. Core stack: Databricks/Snowflake, Spark, dbt, Kafka, Airflow, AWS/Azure, Terraform.
Data Engineer: Lakehouse & Real-Time Analytics (Hybrid)
6-month contract Data Engineer role in Cork (hybrid, 2 days on-site) at €450-550/day, building a cloud lakehouse powering real-time analytics and ML/AI products. Day-to-day: batch/streaming pipelines and ELT with Databricks/Snowflake, Spark, dbt, Kafka, Airflow on AWS/Azure with Terraform.
Data Engineering Team Lead: Architect & Mentor
Engineering Team Lead for a Data & Analytics function in Athlone, Ireland: leading and mentoring data engineers, designing scalable data integration and data warehouse solutions, and driving architecture, governance, and delivery best practices. Core stack: SQL, Python/Java/Scala/R, ETL, and cloud data platforms.
Data Engineer - Malta Relocation | Scale Distributed Pipelines
Design and build scalable batch and real-time data pipelines on a modern distributed, cloud-native stack. Relocation to Malta is required, with remote work from Malta; core skills are Python, SQL, Airflow/Temporal, Kubernetes, and cloud-native environments.
Data Engineer
Data Engineer role (levels II, III, and Staff) building and scaling distributed batch and real-time data platforms on a modern open-source stack: Python, Spark/PySpark, Kafka, Airflow/Temporal, Iceberg, Kubernetes. Permanent, remote-from-Malta position with mandatory relocation to Malta (relocation support provided).
Data Engineer
Senior Data Engineer (contract, Abu Dhabi) who architects enterprise data lakehouses and pipelines — extracting data from SAP S/4HANA/Ariba, building RAG-ready unstructured pipelines with vector databases, and enforcing governance — to power AI agents and supply-chain forecasting. Core stack: Python, SQL, Spark, Kafka, Airflow, Databricks, Docker/Kubernetes.
Senior Data Engineer: AI Data Lakehouse Architect - Remote
Senior Data Engineer who architects enterprise data lakehouses and secure on-premise pipelines for a large-scale AI transformation in Abu Dhabi. Day to day: integrating SAP S/4HANA, Ariba and PLM data, implementing governance and RBAC, and managing vector data to enable near real-time forecasting and AI-enabled analytics.
DevOps Engineer
A DevOps Engineer in Abu Dhabi who designs CI/CD pipelines, builds and maintains scalable cloud/on-prem infrastructure for AI model deployment, automates provisioning, and runs monitoring, security compliance, and on-call support. Core stack: Docker, Kubernetes, AWS/Azure/GCP, Terraform/Ansible, Prometheus/Grafana, Python/Bash/Go. Role is via recruitment firm GCS.
Python Developer (DevOps Experience mandatory)
Owns and evolves a Jenkins shared library powering multi-language CI/CD builds, using Python and Groovy to deliver secure, provenance-rich pipelines with SLSA provenance, SBOMs, and aggregated security scans. Core stack: Python, Jenkins/Groovy, Maven/NPM, Helm, Terraform, SonarQube and Sonatype IQ.
Python Developer - Agentic AI / GenAI - Investment Banking
Contract (inside IR35, hybrid in Farringdon, London) Python/AI engineer building production-grade Agentic AI, LLM and RAG solutions for an investment banking client through a consulting engagement. Core stack: Python, OpenAI/GPT, Anthropic Claude, LangChain/LangGraph/AutoGen/CrewAI and FastAPI.
AWS DevOps Engineer
Inside-IR35 contract AWS DevOps Engineer joining an enterprise engineering team at a global financial services organisation, hybrid with 2 days onsite in Sheffield. Day to day: building and securing large-scale AWS infrastructure using Terraform IaC, CI/CD pipelines, and Python/Golang automation for cloud-native services.
DevOps Engineer - Hybrid, Azure CI/CD & Automation
DevOps Engineer automating CI/CD pipelines, Azure cloud and on-prem deployments, and Python tooling integrated with Ansible Automation Platform for a leading financial services organisation in Amsterdam. Includes automating network devices and VMware environments in a hybrid setup (2 days onsite).