Junior Data Engineer Functie Wij zijn op zoek naar een Junior Data Engineer om ons groeiende datateam te... Read more
Junior Data Engineer Functie
Wij zijn op zoek naar een Junior Data Engineer om ons groeiende datateam te versterken en een solide basis op te bouwen in moderne data engineering. Samen met ervaren teamleden en onder begeleiding van de Data Lead help je bij het ontwikkelen en onderhouden van ons datawarehouse, onze datapijplijnen en analytische datamodellen met behulp van Databricks, dbt, SQL en Python. Dit is een uitstekende kans voor iemand aan het begin van zijn of haar carrière die praktijkervaring wil opdoen met datawarehousing, dimensionale modellering en cloud-gebaseerde dataplatformen.
Belangrijkste Verantwoordelijkheden
Ontwikkelen en onderhouden van dimensionale datamodellen volgens de Kimball-methodologie.Ontwikkelen, testen en documenteren van SQL-transformaties en datapijplijnen.Bewaken van datakwaliteit en ondersteunen bij het onderzoeken en oplossen van dataproblemen.Werken met Databricks, dbt en moderne cloud-gebaseerde data-oplossingen.Samenwerken met de Data Lead en stakeholders om data-oplossingen te realiseren.Werken volgens technische best practices, waaronder Git, code reviews, testen en documentatie.Gewenst Profiel
0-5 jaar ervaring in Data Engineering, Analytics Engineering of een vergelijkbaar vakgebied.Sterke SQL-vaardigheden, inclusief joins, transformaties en queryontwikkeling.Ervaring met of kennis van Python.Interesse in datawarehousing en dimensionale modellering (ervaring met Kimball is een pré).Bekendheid met, of de bereidheid om te leren werken met, tools zoals dbt en Databricks.Inzicht in datakwaliteitsconcepten en een nauwkeurige werkwijze.Praktische kennis van Git.Nieuwsgierig, proactief en leergierig.Uitstekende beheersing van het Nederlands en Engels (C1-niveau).Pré
Ervaring met dbt vanuit werk, studie of persoonlijke projecten.Ervaring met Databricks, Snowflake, BigQuery of vergelijkbare cloud-dataplatformen.Een diploma in Informatica, Data Science, Wiskunde of een vergelijkbare technische richting.
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessSenior NetBackup Solution Architect (SC Cleared)London, UKThe OpportunityWe are seeking an experienced Senior NetBackup Solution Architect to join... Read more
London, UK
The OpportunityWe are seeking an experienced Senior NetBackup Solution Architect to join a specialist Professional Services team delivering complex enterprise data protection and cyber resilience solutions across highly regulated customer environments.
This is a customer-facing architecture and consulting role, where you will lead technical engagements from discovery and design through to implementation and knowledge transfer. You will work directly with enterprise customers, acting as a trusted advisor to define backup, recovery, and cyber resilience strategies that align with business and operational objectives.
Key ResponsibilitiesLead technical workshops, architecture discussions, and design engagements with enterprise customers.Design and deliver enterprise-scale backup, recovery, and cyber resilience solutions.Translate business requirements into scalable and supportable technical architectures.Provide expertise across NetBackup environments, including upgrades, migrations, and modernisation projects.Drive solution design and implementation activities alongside internal engineering and project delivery teams.Produce High-Level Designs (HLDs), Low-Level Designs (LLDs), and technical documentation.Deliver executive-level presentations and technical briefings to senior stakeholders.Ensure solutions are aligned with security, governance, compliance, and operational requirements.Act as the technical authority throughout the project lifecycle.Essential Skills & ExperienceMust HaveActive SC Clearance8+ years hands-on experience with Veritas NetBackupStrong experience with:NetBackup AdministrationNetBackup Upgrades and MigrationsNetBackup AppliancesBackup and Recovery ArchitectureEnterprise Data Protection solutionsExperience designing highly available and resilient backup platforms.Strong understanding of:Disaster Recovery (DR)Business ContinuityCyber RecoveryRansomware ProtectionExperience working directly with enterprise customers.Proven solution architecture experience within large-scale environments.Strong stakeholder management and presentation skills.Highly DesirableNetBackup Flex AppliancesNetBackup Flex ScaleMSDPCloudCatalystAuto Image Replication (AIR)VMware backup solutionsOracle backup integrationsSQL Server backup solutionsTape and Disk-based backup architecturesData domain or enterprise storage platformsCloud & Infrastructure ExperienceExperience with one or more of the following:
Microsoft AzureAmazon Web Services (AWS)Google Cloud Platform (GCP)VMware vSphereWindows ServerLinux (RHEL, CentOS, Ubuntu)Automation & ScriptingExperience with:
AnsiblePuppetPowerShellPythonInfrastructure as Code (IaC)Ideal BackgroundWe are particularly interested in professionals who have worked as:
NetBackup ArchitectSenior NetBackup ConsultantData Protection ArchitectBackup & Recovery ArchitectEnterprise Storage ArchitectProfessional Services ConsultantNetBackup Flex SpecialistTechnical Solution ArchitectCyber Recovery ArchitectWhat Success Looks LikeYou'll be the go-to technical authority for enterprise customers, helping them modernise and secure their backup and recovery estates while delivering best-practice architecture and exceptional customer outcomes.
If you have deep NetBackup expertise, customer-facing consulting experience, and an active SC clearance, we'd love to hear from you.
Apply now or contact us for a confidential discussion.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessBusiness Analyst (Power BI & Reporting) - Outside IR35 (Energy/Utilities Industry experience needed) Start Date: ASAP Working Pattern:... Read more
Business Analyst (Power BI & Reporting) - Outside IR35 (Energy/Utilities Industry experience needed)
Start Date: ASAP
Working Pattern: Hybrid - 2 days per week on-site in the Surrey Area
The Opportunity
My client who are well known in the Energy Industry are looking for an experienced Business Analyst to join on an initial 3 month contract.
You will work closely with stakeholders to understand business needs and convert them into well-defined requirements for dashboards and reports.
Key Responsibilities
Gather, analyse and document reporting requirements from business stakeholders.Translate a high volume of reporting requests into clear, structured requirements for developers.Work closely with business users to understand reporting needs and priorities.Support the design and delivery of Power BI dashboards and reports.Ensure requirements align with the underlying data structures and business objectives.Collaborate with developers throughout the delivery lifecycle to clarify requirements where needed.Required Skills & Experience
Proven experience as a Business Analyst delivering reports.Strong understanding of Power BI and reporting solutions.Knowledge of dimensional data models and how reporting data is structured.Good understanding of databases.Experience gathering and documenting business requirements for technical development teams.Excellent stakeholder management and communication skills.Hybrid working with 2 days per week on-site.
Please feel free to apply directly or via email [email protected]
GCS is acting as an Employment Business in relation to this vacancy.
Read lessWe're looking for a Junior Business Analyst for a 6-month hybrid contract (2-3 days onsite), ideal for someone... Read more
We're looking for a Junior Business Analyst for a 6-month hybrid contract (2-3 days onsite), ideal for someone early in their career - recently out of university with 2-3 years of experience in business analysis and admin support tasks.
Bonus if you have CRM experience (Salesforce, HubSpot, etc.) and familiarity with tools like Jira or Confluence.
If you're looking to grow your BA skills in a supportive, fast-paced environment, I'd love to tell you more.
It is an urgent role so would be great if we can discuss about it today to have the interview setup next week. Would you be open to a quick chat? Please reach out to [email protected]
GCS is acting as an Employment Business in relation to this vacancy.
Read lessLocation: Cork, Ireland or Fully Remote Employment Type: Contract - 12 month Summary:We are looking for a data... Read more
Location: Cork, Ireland or Fully Remote
Employment Type: Contract - 12 month
Summary:
We are looking for a data engineer who also has a strong interest in data analytics. A solid background in Python is essential, as well as experience performing data analytics that will shape the future of our products. You will play a key role in developing and monitoring AI features, improving data pipelines, and ensuring our supplier sourcing tool delivers high-quality, reliable results.
Key Responsibilities
Collaborate with the business team to design and enhance AI features that provide value for our clients.Build, maintain, and optimize AI tools and data pipelines in Python.Monitor and evaluate the quality of output from our AI supplier-matching system, ensuring accuracy and reliability.Design and run tests/experiments to validate the efficiency of new AI features.Work on data acquisition pipelines to source new supplier data, including web crawling and integrations with 3rd-party tools/APIs.Conduct data analytics to identify areas where AI-driven tools can be improved.Support the scaling of data systems as the platform grows.Communicate insights clearly to both technical and non-technical stakeholders.Requirements
Solid background in data analytics, statistics, and model evaluation.Hands-on experience with data acquisition and integration (web crawling, APIs, or 3rd-party tools).Familiarity with AI/ML models and their deployment in real-world systems.Strong demonstrable proficiency in Python.Demonstrable experience in using AI workflows for development and testing.Strong problem-solving skills and ability to thrive in a startup environment.Excellent communication and presentation skills.Nice-to-Have
Experience in procurement, supplier sourcing, or B2B marketplaces.Knowledge of cloud platforms (AWS, GCP, or Azure).Familiarity with OpenAI, Gemini integrations.Prior startup experience.Whats on Offer
The opportunity to shape the future of AI-powered supplier sourcing.Hands-on involvement in building a platform from early stages.Flexible working arrangements (remote/hybrid options).Growth potential and career progression as the company scales.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRemote
Job Title: Finance Analyst (COGS)Mandatory SkillsSAP (Essential)Cost Price Maintenance & ControlCOGS (Cost of Goods Sold) ManagementFinancial Data Analysis... Read more
We are seeking a detail-oriented Finance Analyst to support our Finance team during a period of transition. This is a 3-month contract opportunity focused on managing a backlog of cost price corrections and providing SAP-based finance support across the NE region.
The successful candidate will take ownership of cost price maintenance activities, help establish best practices and controls, document processes, and provide month-end reporting support. This role requires strong SAP experience and the ability to work independently with a high degree of accuracy.
Key ResponsibilitiesCost Price Maintenance & ControlManage and maintain Cost of Goods Sold (COGS) pricing across all categories within the NE business.Complete cost price corrections and updates accurately and efficiently.Perform ongoing price maintenance and ensure system alignment across SAP.Monitor and maintain data integrity for cost price records.Process Improvement & DocumentationIdentify and recommend best practices for COGS cost price maintenance and control.Develop and document standardized processes and procedures.Create comprehensive work instructions for all cost price maintenance and control activities.Support continuous improvement initiatives to streamline finance operations.SAP SupportProvide SAP-based support for finance processes and data maintenance.Run, extract, and analyze SAP reports as required.Support month-end activities through report generation and data preparation.Develop work instructions for SAP report execution and background processing activities.Month-End SupportAssist the Finance team during month-end close activities.Support reporting requirements through SAP downloads and data extraction.Ensure timely and accurate delivery of financial data and reports.Required Experience & QualificationsProven experience working in a Finance Analyst, Financial Analyst, or similar finance support role.Strong SAP experience is essential.Experience with cost price management, COGS maintenance, and financial data controls.Strong analytical and problem-solving skills.Proficient in Excel and financial data management.Experience creating process documentation and work instructions.Excellent attention to detail and organizational skills.Ability to work independently and manage multiple priorities in a fast-paced environment.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessMachine Learning Engineer Position OverviewWe are looking for a Machine Learning Engineer I with strong Python programming skills... Read more
Machine Learning Engineer
Position Overview
We are looking for a Machine Learning Engineer I with strong Python programming skills to develop, deploy, and optimize machine learning solutions for ad monetization and personalization. You'll collaborate with cross-functional teams to build scalable ML pipelines, enhance recommendation and targeting models, and deliver production-ready AI solutions that improve user engagement and business outcomes.
Key Responsibilities
Develop, train, and deploy machine learning models for personalization, recommendation, and customer experience applications.Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.Collaborate with machine learning scientists, data engineers, and software engineers to transition research models into production.Enhance recommendation and ranking models using customer behavioural and transactional data.Monitor, evaluate, and improve model performance through experimentation, A/B testing, and data-driven analysis.Write clean, efficient, and maintainable Python code following software engineering best practices.Optimize machine learning workflows to improve customer engagement and support business objectives.Participate in model deployment, monitoring, troubleshooting, and continuous improvement initiatives.Document machine learning processes, model performance, and technical solutions to support collaboration and knowledge sharing.Required Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related field.1-3 years of experience in machine learning, including internships, research, or professional experience.Strong programming skills in Python.Solid understanding of machine learning concepts, including supervised learning, feature engineering, model evaluation, classification, and regression.Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.What You'll Learn
Build and deploy production-ready machine learning models at scale.Gain hands-on experience with recommendation systems, personalization, and ranking algorithms.Learn best practices for feature engineering, model monitoring, and performance optimization.Work with large-scale data processing and modern machine learning pipelines.Develop expertise in experimentation frameworks, A/B testing, and data-driven decision-making.Collaborate with experienced machine learning engineers, software engineers, and data scientists on real-world AI solutions.Strengthen your understanding of MLOps concepts, including model deployment, versioning, and lifecycle management.Improve your software engineering skills by contributing to scalable, maintainable, and production-quality codebases.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRemote
Machine Learning Engineer Position OverviewWe are looking for a Machine Learning Engineer I with strong Python programming skills... Read more
Machine Learning Engineer
Position Overview
We are looking for a Machine Learning Engineer I with strong Python programming skills to develop, deploy, and optimize machine learning solutions for ad monetization and personalization. You'll collaborate with cross-functional teams to build scalable ML pipelines, enhance recommendation and targeting models, and deliver production-ready AI solutions that improve user engagement and business outcomes.
Key Responsibilities
Develop, train, and deploy machine learning models for personalization, recommendation, and customer experience applications.Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.Collaborate with machine learning scientists, data engineers, and software engineers to transition research models into production.Enhance recommendation and ranking models using customer behavioural and transactional data.Monitor, evaluate, and improve model performance through experimentation, A/B testing, and data-driven analysis.Write clean, efficient, and maintainable Python code following software engineering best practices.Optimize machine learning workflows to improve customer engagement and support business objectives.Participate in model deployment, monitoring, troubleshooting, and continuous improvement initiatives.Document machine learning processes, model performance, and technical solutions to support collaboration and knowledge sharing.Required Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related field.1-3 years of experience in machine learning, including internships, research, or professional experience.Strong programming skills in Python.Solid understanding of machine learning concepts, including supervised learning, feature engineering, model evaluation, classification, and regression.Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.What You'll Learn
Build and deploy production-ready machine learning models at scale.Gain hands-on experience with recommendation systems, personalization, and ranking algorithms.Learn best practices for feature engineering, model monitoring, and performance optimization.Work with large-scale data processing and modern machine learning pipelines.Develop expertise in experimentation frameworks, A/B testing, and data-driven decision-making.Collaborate with experienced machine learning engineers, software engineers, and data scientists on real-world AI solutions.Strengthen your understanding of MLOps concepts, including model deployment, versioning, and lifecycle management.Improve your software engineering skills by contributing to scalable, maintainable, and production-quality codebases.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRemote
Machine Learning Engineer Position OverviewWe are looking for a Machine Learning Engineer I with strong Python programming skills... Read more
Machine Learning Engineer
Position Overview
We are looking for a Machine Learning Engineer I with strong Python programming skills to develop, deploy, and optimize machine learning solutions for ad monetization and personalization. You'll collaborate with cross-functional teams to build scalable ML pipelines, enhance recommendation and targeting models, and deliver production-ready AI solutions that improve user engagement and business outcomes.
Key Responsibilities
Develop, train, and deploy machine learning models for personalization, recommendation, and customer experience applications.Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.Collaborate with machine learning scientists, data engineers, and software engineers to transition research models into production.Enhance recommendation and ranking models using customer behavioural and transactional data.Monitor, evaluate, and improve model performance through experimentation, A/B testing, and data-driven analysis.Write clean, efficient, and maintainable Python code following software engineering best practices.Optimize machine learning workflows to improve customer engagement and support business objectives.Participate in model deployment, monitoring, troubleshooting, and continuous improvement initiatives.Document machine learning processes, model performance, and technical solutions to support collaboration and knowledge sharing.Required Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related field.1-3 years of experience in machine learning, including internships, research, or professional experience.Strong programming skills in Python.Solid understanding of machine learning concepts, including supervised learning, feature engineering, model evaluation, classification, and regression.Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.What You'll Learn
Build and deploy production-ready machine learning models at scale.Gain hands-on experience with recommendation systems, personalization, and ranking algorithms.Learn best practices for feature engineering, model monitoring, and performance optimization.Work with large-scale data processing and modern machine learning pipelines.Develop expertise in experimentation frameworks, A/B testing, and data-driven decision-making.Collaborate with experienced machine learning engineers, software engineers, and data scientists on real-world AI solutions.Strengthen your understanding of MLOps concepts, including model deployment, versioning, and lifecycle management.Improve your software engineering skills by contributing to scalable, maintainable, and production-quality codebases.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessMachine Learning Engineer Position OverviewWe are looking for a Machine Learning Engineer I with strong Python programming skills... Read more
Machine Learning Engineer
Position Overview
We are looking for a Machine Learning Engineer I with strong Python programming skills to develop, deploy, and optimize machine learning solutions for ad monetization and personalization. You'll collaborate with cross-functional teams to build scalable ML pipelines, enhance recommendation and targeting models, and deliver production-ready AI solutions that improve user engagement and business outcomes.
Key Responsibilities
Develop, train, and deploy machine learning models for personalization, recommendation, and customer experience applications.Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.Collaborate with machine learning scientists, data engineers, and software engineers to transition research models into production.Enhance recommendation and ranking models using customer behavioural and transactional data.Monitor, evaluate, and improve model performance through experimentation, A/B testing, and data-driven analysis.Write clean, efficient, and maintainable Python code following software engineering best practices.Optimize machine learning workflows to improve customer engagement and support business objectives.Participate in model deployment, monitoring, troubleshooting, and continuous improvement initiatives.Document machine learning processes, model performance, and technical solutions to support collaboration and knowledge sharing.Required Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related field.1-3 years of experience in machine learning, including internships, research, or professional experience.Strong programming skills in Python.Solid understanding of machine learning concepts, including supervised learning, feature engineering, model evaluation, classification, and regression.Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.What You'll Learn
Build and deploy production-ready machine learning models at scale.Gain hands-on experience with recommendation systems, personalization, and ranking algorithms.Learn best practices for feature engineering, model monitoring, and performance optimization.Work with large-scale data processing and modern machine learning pipelines.Develop expertise in experimentation frameworks, A/B testing, and data-driven decision-making.Collaborate with experienced machine learning engineers, software engineers, and data scientists on real-world AI solutions.Strengthen your understanding of MLOps concepts, including model deployment, versioning, and lifecycle management.Improve your software engineering skills by contributing to scalable, maintainable, and production-quality codebases.
GCS is acting as an Employment Business in relation to this vacancy.
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