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Senior Data Engineer

Dublin, Ireland | Hybrid | 12-month Contract

About the Company

Our client is a large, global technology-driven organisation operating in a highly regulated, data-rich industry, delivering services at scale to millions of customers worldwide.

About the Role

As a Senior Data Engineer, you will develop and maintain data pipelines that extract, transform, and load (ETL) data from a wide variety of sources into centralised data platforms such as a data warehouse or data lake. You will ensure the smooth, reliable flow of data from source to destination systems while upholding rigorous data quality and integrity standards, working within a highly regulated environment.

Primary ResponsibilitiesData integration: integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers. Handle ingestion, transformation, and consolidation to create a unified, reliable data foundation for analysis and reporting.Data transformation and processing: develop transformation routines to clean, normalise, and aggregate data. Handle complex data structures and missing or inconsistent data, preparing data for analysis, reporting, and machine learning use cases.Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.Implement data governance and data de-identification frameworks in line with company and regulatory standards.Partner with data analytics and product leaders to design best practices and standards for developing and productionising analytic pipelines.Partner with infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new cloud-based tools and techniques (Azure, Snowflake, and others).Monitoring and support: monitor data pipelines and systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling to ensure data integrity and system reliability.Required QualificationsExtensive experience designing data solutions, with a solid understanding of architectural patterns, system design principles, data modelling, and large-scale solution development.Extensive hands-on experience developing data processing jobs (PySpark/SQL) demonstrating strong software engineering principles.Proven experience with Azure Databricks and Snowflake.Experience orchestrating data pipelines using tools such as Azure Data Factory, Airflow, or similar.Proven experience working with Spark.Advanced SQL skills and deep experience with relational databases (e.g., SQL Server), including optimisation, stored procedures, and performance tuning for high-volume applications.Experience with DevOps tooling, Git workflows, and building CI/CD pipelines.Experience applying data governance controls, data masking, and data de-identification rules within a highly regulated environment.Excellent communication and interpersonal skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.Preferred QualificationsExperience analysing and improving workflows: evaluating process maps and flowcharts, identifying inefficiencies, and recommending enhancements to procedures, technology, and tools.Familiarity with languages such as Java or Scala.A motivated self-starter who manages their own tasks and takes ownership.Experience working in agile/scrum teams.Strong Python skills for data manipulation, cleaning, transformation, and analysis of structured data.Familiarity with production-quality ML/AI model development and deployment.Data architecture experience.

GCS is acting as an Employment Business in relation to this vacancy.

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Microsoft 365 Technical Architect

📍 Dublin (Hybrid)
📅 12-Month Contract | Strong Likelihood of Extension

We're working with a large enterprise client that is looking to hire an experienced Microsoft 365 Technical Architect to join a major workplace transformation programme.

This is an architecture role where you'll take ownership of the design and delivery of enterprise Microsoft 365 solutions, leading large-scale tenant migrations while ensuring security, governance and compliance across a complex environment.

ResponsibilitiesDesign end-to-end Microsoft 365 architecture across Exchange Online, Teams, SharePoint Online and OneDrive.Develop target-state architecture, migration strategies and implementation roadmaps.Lead enterprise tenant-to-tenant migrations and divestiture activities.Deliver Day 1 / Day 2 readiness and TSA exit workstreams.Collaborate with Infrastructure, Security, IAM and business stakeholders.Provide architectural guidance and technical leadership throughout project delivery.Ensure alignment with enterprise cloud, security and governance standards.Required Experience

You'll ideally have:

10+ years working within Microsoft Infrastructure and Microsoft 365.Strong architecture experience across:Exchange OnlineMicrosoft TeamsSharePoint OnlineOneDriveMicrosoft Entra ID (Azure AD)Strong understanding of:Hybrid IdentitySSOMicrosoft Security & Compliance (DLP, Retention, eDiscovery)Proven experience delivering enterprise M365 migration programmes.Experience with PowerShell automation.Excellent stakeholder management and communication skills.

Desirable:

Tenant-to-Tenant migration experienceZero Trust architectureAzure/AWS/GCP exposureMicrosoft certifications (M365 Enterprise Administrator / Azure Solutions Architect).What's on Offer12-month contractStrong chance of extensionHigh-profile enterprise transformation programmeImmediate startCompetitive daily rate

If you're an experienced Microsoft 365 Technical Architect looking for your next contract in Dublin, please apply.

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Role Description

Technical Analyst Role

Provide Level 2 (L2) operational support for existing Identity & Access Management systems, with a focus on Microsoft Identity Manager (MIM) and related integrations. You'll handle incident triage, service restoration, monitoring, and problem management, using SQL and .NET knowledge to diagnose issues and work with L3/engineering teams on fixes.

Key Accountabilities:

Own L2 support for MIM Sync and MIM Service in production and non-production environments.Triage and resolve incidents: analyse logs, identify failure points, restore service within agreed SLAs.Monitor scheduled sync/provisioning jobs; manage reruns, stuck requests, connector failures, and data exceptions.Perform operational activities:User/account provisioning exceptions (joiner/mover/leaver fallouts)Access request workflow fallouts and queue managementCertificate/credential-related issues (where applicable)Use SQL Server to investigate data issues (queries, stored procedures, reconciliation, reporting extracts).Support and maintain .NET-based components (e.g., rules extensions, services, scheduled tasks) by reviewing logs/config and coordinating code fixes with L3.Execute approved changes (configuration updates, run profile changes, connection updates) following change control.Produce and maintain runbooks, known error database (KEDB) articles, and operational documentation.Drive problem management: trend recurring incidents, perform root-cause analysis with L3, and track permanent fixes.Coordinate with upstream/downstream teams (AD, Entra ID, HR feeds, ServiceNow) to resolve integration issues.Participate in on-call/major incident processes as required.Knowledge of LDAP integrations, file transfer protocols such as SMB, as well as TLS protocols, ciphers, encryption and other authentication technologies.Experience with Kerberos, NTLM and other standard LDAP authentication methods.Ability to troubleshoot application integration issues and assist with application configuration setup. Must be able to work in a team environment with a "can do" attitude capable of overcoming difficult challenges.Providing support to the wider team during outages / incidents

Essential Skills

Experience in L2 application/production support for enterprise systems (incident, problem, change).Working knowledge of Microsoft Identity Manager (MIM) operations:Sync run profiles, connector space/metaverse basics, error handlingMIM Service request processing and workflow fallouts (desirable)Strong SQL Server skills for investigation and reporting (T-SQL querying, joins, basic performance awareness).Understanding of .NET/C# applications from a support perspective (logs, config, services, troubleshooting-not necessarily full-time development).Familiarity with Active Directory concepts (users, groups, OU structure, permissions).Must show a progressive advancement in responsibility including deep troubleshooting technical skills.Self-driven and be able to work independently with minimal supervisionRequirements gathering in a technical environment - Cloud and on-premise infrastructure platformsStrong process mapping skillsStrong analysis skillsIdentification of use casesTechnical understanding of infrastructure technologiesExperience of working closely with IT developers/engineers and operational teamsRoot cause analysis skillsAbility to optimise processes and maximise efficiencyStrong stakeholder engagement and communication skillsConfident at presenting what they are working onPositive team player working as part of a large programme; questioning mind to fact find and challenge where appropriateAccountability for deliverables and proven track record of delivering on scheduleGood time managementMust be self-sufficient; able to deliver quality output without supervisionProficient in MS Excel, Visio, Confluence

GCS is acting as an Employment Business in relation to this vacancy.

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Role Description

Technical Analyst Role

Provide Level 2 (L2) operational support for existing Identity & Access Management systems, with a focus on Microsoft Identity Manager (MIM) and related integrations. You'll handle incident triage, service restoration, monitoring, and problem management, using SQL and .NET knowledge to diagnose issues and work with L3/engineering teams on fixes.

Key Accountabilities:

Own L2 support for MIM Sync and MIM Service in production and non-production environments.Triage and resolve incidents: analyse logs, identify failure points, restore service within agreed SLAs.Monitor scheduled sync/provisioning jobs; manage reruns, stuck requests, connector failures, and data exceptions.Perform operational activities:User/account provisioning exceptions (joiner/mover/leaver fallouts)Access request workflow fallouts and queue managementCertificate/credential-related issues (where applicable)Use SQL Server to investigate data issues (queries, stored procedures, reconciliation, reporting extracts).Support and maintain .NET-based components (e.g., rules extensions, services, scheduled tasks) by reviewing logs/config and coordinating code fixes with L3.Execute approved changes (configuration updates, run profile changes, connection updates) following change control.Produce and maintain runbooks, known error database (KEDB) articles, and operational documentation.Drive problem management: trend recurring incidents, perform root-cause analysis with L3, and track permanent fixes.Coordinate with upstream/downstream teams (AD, Entra ID, HR feeds, ServiceNow) to resolve integration issues.Participate in on-call/major incident processes as required.Knowledge of LDAP integrations, file transfer protocols such as SMB, as well as TLS protocols, ciphers, encryption and other authentication technologies.Experience with Kerberos, NTLM and other standard LDAP authentication methods.Ability to troubleshoot application integration issues and assist with application configuration setup. Must be able to work in a team environment with a "can do" attitude capable of overcoming difficult challenges.Providing support to the wider team during outages / incidents

Essential Skills

Experience in L2 application/production support for enterprise systems (incident, problem, change).Working knowledge of Microsoft Identity Manager (MIM) operations:Sync run profiles, connector space/metaverse basics, error handlingMIM Service request processing and workflow fallouts (desirable)Strong SQL Server skills for investigation and reporting (T-SQL querying, joins, basic performance awareness).Understanding of .NET/C# applications from a support perspective (logs, config, services, troubleshooting-not necessarily full-time development).Familiarity with Active Directory concepts (users, groups, OU structure, permissions).Must show a progressive advancement in responsibility including deep troubleshooting technical skills.Self-driven and be able to work independently with minimal supervisionRequirements gathering in a technical environment - Cloud and on-premise infrastructure platformsStrong process mapping skillsStrong analysis skillsIdentification of use casesTechnical understanding of infrastructure technologiesExperience of working closely with IT developers/engineers and operational teamsRoot cause analysis skillsAbility to optimise processes and maximise efficiencyStrong stakeholder engagement and communication skillsConfident at presenting what they are working onPositive team player working as part of a large programme; questioning mind to fact find and challenge where appropriateAccountability for deliverables and proven track record of delivering on scheduleGood time managementMust be self-sufficient; able to deliver quality output without supervisionProficient in MS Excel, Visio, Confluence

GCS is acting as an Employment Business in relation to this vacancy.

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Level 3 Field Engineer
📍 Multi-Site Environment
📅 12-Month Rolling Daily Rate Contract
💰 Competitive Daily Rate
🏢 Public Sector Client

We are seeking an experienced Level 3 Field Engineer to join a large public sector organisation on a long-term contract basis.

This is a predominantly Level 3 Infrastructure Support role, focused on maintaining, improving, and securing core IT infrastructure across multiple sites. You'll act as a senior technical escalation point, supporting both operational infrastructure and project delivery initiatives.

Key ResponsibilitiesProvide Level 3 support across Windows Server, Active Directory, networking, and endpoint infrastructure.Administer and maintain Windows Server environments and core infrastructure services.Manage Active Directory, Group Policy, user provisioning, and access controls.Support backup, recovery, patch management, and endpoint security platforms.Troubleshoot complex infrastructure, networking, and system performance issues.Manage PC imaging, software deployment, and endpoint lifecycle management.Support infrastructure upgrades, migrations, and technology refresh projects.Work closely with vendors, stakeholders, and internal IT teams.Maintain technical documentation, diagrams, and asset records.Required ExperienceStrong experience in a Level 3 Infrastructure Engineer, Systems Administrator, or Senior IT Support role.Advanced knowledge of:Windows ServerActive Directory & Group PolicyDNS, DHCP, TCP/IPSwitching & Network TroubleshootingBackup & Disaster RecoveryEndpoint Security & Patch ManagementExperience delivering infrastructure projects and upgrades.Strong troubleshooting and stakeholder management skills.DesirableMicrosoft 365 AdministrationIntune, MDT, SCCM, or similar deployment toolsPublic Sector or Education experienceExperience supporting multi-site environments

12-month rolling contract with strong long-term potential and a competitive daily rate.

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Senior Field Engineer (L3)
📍 Multi-Site Environment
📅 12-Month Rolling Daily Rate Contract
💰 Competitive Daily Rate
🏢 Public Sector Client

We are seeking an experienced Level 3 Field Engineer to join a large public sector organisation on a long-term contract basis.

This is a predominantly Level 3 Infrastructure Support role, focused on maintaining, improving, and securing core IT infrastructure across multiple sites. You'll act as a senior technical escalation point, supporting both operational infrastructure and project delivery initiatives.

Key ResponsibilitiesProvide Level 3 support across Windows Server, Active Directory, networking, and endpoint infrastructure.Administer and maintain Windows Server environments and core infrastructure services.Manage Active Directory, Group Policy, user provisioning, and access controls.Support backup, recovery, patch management, and endpoint security platforms.Troubleshoot complex infrastructure, networking, and system performance issues.Manage PC imaging, software deployment, and endpoint lifecycle management.Support infrastructure upgrades, migrations, and technology refresh projects.Work closely with vendors, stakeholders, and internal IT teams.Maintain technical documentation, diagrams, and asset records.Required ExperienceStrong experience in a Level 3 Infrastructure Engineer, Systems Administrator, or Senior IT Support role.Advanced knowledge of:Windows ServerActive Directory & Group PolicyDNS, DHCP, TCP/IPSwitching & Network TroubleshootingBackup & Disaster RecoveryEndpoint Security & Patch ManagementExperience delivering infrastructure projects and upgrades.Strong troubleshooting and stakeholder management skills.DesirableMicrosoft 365 AdministrationIntune, MDT, SCCM, or similar deployment toolsPublic Sector or Education experienceExperience supporting multi-site environments

12-month rolling contract with strong long-term potential and a competitive daily rate.

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Primary product focus areas:

Projects across Critical National Infrastructure (Energy, Water, CNI and Blue Light clients)

Security Portfolio: CCTV, Access Control, Perimeter Detection, Intruder DetectionLAN Portfolio: Private IP networks, Wireless networksWAN Portfolio: Private Mission Critical IP networks, SDH Networks, VPLS/MPLS,Cyber Portfolio: IDS, IPS, FirewallingVoice portfolio: Hosted and traditional voice offerings

Primary Tasks:

Commission and test equipment and systems, together with associated interfacing, ensuring accurate and timely completion in accordance with provided documentationConfiguration, fault-finding and maintenance of third party equipmentWorking to preventive and corrective maintenance plans for existing and new equipment with a focus on continuous improvement.Insuring compliance with health & safety strategy. Developing and promoting health & safety amongst colleagues.Providing accurate reports against maintenance plans and preparing recommendations for future works.Perform out of hours on-call cover

Secondary Tasks:

Advising and development of proactive/reactive maintenance plans.Obtain and maintain technical competence in the systems supported by the businessSupport and advise pre-sales team to respond to RFQs and tenders with accurately pricingProviding technical advice on engineering projects.

Overview of role and responsibilities:

The engineer will bring to this position:

In depth knowledge and experience of Networking technologies including IP networks and optionally SDH, SDN, TDM, DWDM, Microwave or other networking technology.Experience in site activities including installing, configuring and commissioning communications and telecoms equipment and services.Flexibility in working, including willingness to work and stay away in different regions of the UK and occasionally abroad.Excellent customer facing qualities.Excellent communicator with strong presentation, numeracy and written skillsConfidence to work in controlled areas, such as electrical substations.Confidence to work with low voltage power systemsA team player, with the ability to also work unsupervised using their own initiative.An aptitude for pragmatic problem solving.Willingness to learn and keenness to grow.Strong problem-solving abilities; able to facilitate discussions and outcomes

The following would be advantageous:

Cisco Qualification (CCNA/CCNP etc)SC ClearanceExperience with Cyber Security.Electrical '18th Edition' and/or Level 2 & 3 Diploma in Electrical InstallationsInspection & Testing level 2 certificate (C&G 2392-10)Exposure to, and some experience in a diverse range of communication technologies, including at least one of the following: SDN, TDM, DWDM, Microwave radio, Telephony, CCTV or Access Control.

GCS is acting as an Employment Business in relation to this vacancy.

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IT Infrastructure Architect - Shape the Future of Global Airport Technology

Step into a role where your technical leadership directly influences large‑scale, mission‑critical systems used in airports around the world. As an IT Infrastructure Architect, you'll guide the full lifecycle of infrastructure delivery from early sales engagement to final service handover, ensuring every solution is robust, secure and engineered for long‑term success.

🌍 What You'll Do

Lead Infrastructure Delivery - Own the technical design and delivery of IT infrastructure within complex airport system projects.

Collaborate with Global Teams - Work closely with peer architects, engineers and product specialists across continents.

Design Future‑Ready Solutions - Create detailed network and server architectures based on Windows/Linux, virtualization, containerization and modern security standards.

Drive Technical Innovation - Partner with product development teams to evolve infrastructure products and prepare them for future demands.

Advise and Support - Act as a trusted expert during project execution and support sales teams during the offer phase.

Enable Secure Operations - Integrate remote access, OS hardening, virtualization, and security enablers into every design.

🧠 What You Bring

10+ Years of Experience in industrial IT infrastructure implementation.

Strong Architecture Skills across Windows/Linux, VMware, Kubernetes, Docker, Helm and Azure.

Security Expertise and familiarity with modern standards and best practices.

Hardware Knowledge (HPE, Fortinet, Cisco) is a plus.

Leadership & Communication - You're a natural influencer who can guide teams and communicate complex ideas clearly.

Agile Mindset and a hands‑on, can‑do attitude.

Fluency in English and willingness to travel occasionally (approx. 5%).

🎁 What You'll Get

A role with real impact, working on industry‑leading airport automation projects. You'll join a diverse, international team with a culture that values innovation, collaboration and personal growth.

You'll enjoy:

40 days of annual leave (20 statutory + 20 flexible).

Hybrid working (40% home / 60% office).

Flexible hours and a supportive work-life balance.

Commuting reimbursement, including full public transport coverage.

Home‑working allowance.

Pension scheme and discounted health insurance.

On‑site health centres with gym, physio and occupational therapy.

Access to a dedicated training academy to grow your skills.

Thriving internal communities and networking groups.

A great on‑site restaurant and barista coffee bar.

If you are interested in this position or know someone who might be, please apply on our portal or reach out to me on: [email protected]

GCS is acting as an Employment Agency in relation to this vacancy.

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Role :- Machine Learning Engineer

Position Summary

We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.

Key Responsibilities

Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.Work with large structured and unstructured datasets to derive actionable insights and improve model performance.Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.Support the integration of machine learning models into enterprise applications and workflows.Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.Explore and implement Large Language Model (LLM) solutions where applicable.Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Required Qualifications

5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.

Preferred Qualifications

Experience developing Neural Network models using frameworks such as PyTorch or TensorFlow.Experience with workflow orchestration and pipeline management tools.Exposure to predictive AI solutions and advanced forecasting models.Knowledge of distributed machine learning and scalable AI infrastructure.Experience supporting enterprise-scale machine learning deployments.

Technical Environment

PythonPySparkScikit-learnAWSMLOpsLarge Language Models (LLMs)Machine Learning PipelinesPredictive AnalyticsNeural Networks (Preferred)PyTorch / TensorFlow (Preferred)

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Role :- Machine Learning Engineer

Position Summary

We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.

Key Responsibilities

Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.Work with large structured and unstructured datasets to derive actionable insights and improve model performance.Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.Support the integration of machine learning models into enterprise applications and workflows.Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.Explore and implement Large Language Model (LLM) solutions where applicable.Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Required Qualifications

5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.

Preferred Qualifications

Experience developing Neural Network models using frameworks such as PyTorch or TensorFlow.Experience with workflow orchestration and pipeline management tools.Exposure to predictive AI solutions and advanced forecasting models.Knowledge of distributed machine learning and scalable AI infrastructure.Experience supporting enterprise-scale machine learning deployments.

Technical Environment

PythonPySparkScikit-learnAWSMLOpsLarge Language Models (LLMs)Machine Learning PipelinesPredictive AnalyticsNeural Networks (Preferred)PyTorch / TensorFlow (Preferred)

GCS is acting as an Employment Business in relation to this vacancy.

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