Contract Data EngineerCork, Ireland | Hybrid (2 Days On-Site) | €450-€550 Per DayOverviewA leading multinational organisation is seeking... Read more
Cork, Ireland | Hybrid (2 Days On-Site) | €450-€550 Per Day
OverviewA leading multinational organisation is seeking an experienced Contract Data Engineer to join a major cloud data platform transformation programme. Working within a growing platform engineering team, you will help design and build a modern lakehouse architecture that powers real-time analytics, machine learning, and AI-driven products across the business.
This is a hands-on engineering role where you'll be contributing from day one, working alongside analytics engineers, data architects, and ML teams to deliver scalable, production-grade data solutions.
As a Contract Data Engineer, you will:
Design and develop scalable batch and streaming data pipelines within a cloud-based lakehouse environmentBuild and optimise ELT processes using modern data engineering practicesDevelop transformation layers and data models using dbt and Apache SparkImplement real-time data ingestion solutions using Kafka and event-driven architecturesDeliver robust data quality, observability, monitoring, and alerting capabilitiesSupport AI and Machine Learning teams by building feature pipelines and AI-ready data infrastructureContribute to CI/CD processes and Infrastructure-as-Code deploymentsOptimise cloud performance, reliability, and cost efficiencyHelp establish data governance, lineage, and cataloguing standards within a GDPR-compliant environmentExperience with any of the following would be advantageous:
Kafka, Kinesis, or Event HubsData observability tools such as Monte Carlo, Soda, or Great ExpectationsGenAI, LLM workflows, vector databases, or RAG pipelinesData governance and cataloguing tools including Unity Catalog, Purview, or CollibraFinOps and cloud cost optimisation initiatives
GCS is acting as an Employment Business in relation to this vacancy.
Read lessData EngineerNotre client recherche un Data Engineer pour concevoir, maintenir et optimiser des pipelines de données et des... Read more
Data Engineer
Notre client recherche un Data Engineer pour concevoir, maintenir et optimiser des pipelines de données et des architectures évolutives. Le poste se concentre sur la fourniture de solutions de données fiables afin de soutenir l'analyse et la prise de décision métier.
Localisation: Belgique
Mode de travail: Hybride
Responsabilités principales
Développer et maintenir des pipelines de données ETL/ELTConcevoir et gérer des data lakes, data warehouses et solutions lakehouseGarantir la qualité, la sécurité et la performance des donnéesCollaborer avec les équipes analytics et businessPrendre en charge le traitement de données en temps réel et en batchMettre en œuvre des pratiques de monitoring, automatisation et CI/CDExigences
Expérience avec des plateformes cloud (Azure, AWS ou GCP), y compris leurs services de base pour le stockage, le traitement et l'intégration des données, ainsi que des outils associés comme Snowflake, Spark, Kubernetes et TerraformUne expérience avec Snowflake est un atout important ; si vous ne l'avez pas encore, vous aurez l'opportunité de l'apprendreMinimum 2 ans d'expérience en data engineering ou dans un rôle similaireMaîtrise du néerlandais ou du français, ainsi que de l'anglais
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessJunior Data EngineerDe functieVoor een groeiende organisatie zijn wij op zoek naar een Junior Data Engineer die wil... Read more
Junior Data Engineer
De functie
Voor een groeiende organisatie zijn wij op zoek naar een Junior Data Engineer die wil meebouwen aan moderne data-oplossingen en de verdere ontwikkeling van een datagedreven omgeving.
In deze rol werk je samen met ervaren collega's aan het verzamelen, verwerken en beschikbaar maken van data voor diverse business teams. Je krijgt de kans om je technische vaardigheden verder te ontwikkelen en ervaring op te doen met data-integratie, rapportering en data-platformen.
Dit is een ideale opportuniteit voor iemand die aan het begin van zijn of haar carrière staat en een sterke interesse heeft in data en technologie.
Verantwoordelijkheden
Ondersteunen bij het ontwikkelen en onderhouden van data-oplossingen.Helpen bij het verzamelen, verwerken en structureren van data uit verschillende bronnen.Mee opvolgen van de kwaliteit, betrouwbaarheid en beschikbaarheid van data.Ondersteunen van rapporterings- en analytics-initiatieven.Samenwerken met business- en IT-teams om data-gerelateerde behoeften te begrijpen.Bijdragen aan de documentatie van processen, databronnen en oplossingen.Ondersteunen bij het identificeren en oplossen van data-gerelateerde problemen.Meewerken aan verbeteringsprojecten binnen het data-landschap.
Profiel
Een opleiding of achtergrond in IT, Informatica, Data, Engineering of een gerelateerd vakgebied.Interesse in data, technologie en digitale oplossingen.Basiskennis van databanken, programmeren of data-analyse is een pluspunt.Leergierige instelling en bereidheid om nieuwe tools en technologieën te ontdekken.Analytisch denkvermogen en oog voor detail.Goede communicatieve vaardigheden en een teamgerichte aanpak.Vermogen om gestructureerd en nauwkeurig te werken.Ervaring met data-, cloud- of rapporteringstools is mooi meegenomen, maar geen vereiste.
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessData EngineerNotre client recherche un Data Engineer pour concevoir, maintenir et optimiser des pipelines de données et des... Read more
Data Engineer
Notre client recherche un Data Engineer pour concevoir, maintenir et optimiser des pipelines de données et des architectures évolutives. Le poste se concentre sur la fourniture de solutions de données fiables afin de soutenir l'analyse et la prise de décision métier.
Localisation: Belgique
Mode de travail: Hybride
Responsabilités principales
Développer et maintenir des pipelines de données ETL/ELTConcevoir et gérer des data lakes, data warehouses et solutions lakehouseGarantir la qualité, la sécurité et la performance des donnéesCollaborer avec les équipes analytics et businessPrendre en charge le traitement de données en temps réel et en batchMettre en œuvre des pratiques de monitoring, automatisation et CI/CDExigences
Expérience avec des plateformes cloud (Azure, AWS ou GCP), y compris leurs services de base pour le stockage, le traitement et l'intégration des données, ainsi que des outils associés comme Snowflake, Spark, Kubernetes et TerraformUne expérience avec Snowflake est un atout important ; si vous ne l'avez pas encore, vous aurez l'opportunité de l'apprendreMinimum 2 ans d'expérience en data engineering ou dans un rôle similaireMaîtrise du néerlandais ou du français, ainsi que de l'anglais
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessKey ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelines.Develop and optimise data integration processes from multiple internal and... Read more
Key Responsibilities
Design, build, and maintain scalable ETL/ELT data pipelines.Develop and optimise data integration processes from multiple internal and external data sources.Build and maintain cloud-based data platforms and data warehouses.Ensure data quality, integrity, governance, and security across the data estate.Work closely with Data Scientists and Analytics teams to provide high-quality datasets for reporting and machine learning initiatives.Monitor, troubleshoot, and optimise data pipeline performance.Contribute to the design and implementation of modern data architecture and best practices.Support ongoing data transformation and digital innovation projects.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.About You
Experience working as a Data Engineer or in a similar data-focused role.Strong SQL skills and experience working with large datasets.Experience building ETL/ELT pipelines.Knowledge of Python for data engineering and automation.Experience with cloud platforms such as Azure, AWS, or Google Cloud.Experience working with modern data warehouses such as Snowflake, Azure Synapse, Redshift, or BigQuery.Familiarity with orchestration tools such as Airflow, Azure Data Factory, or similar.Experience with version control tools such as Git.Understanding of data modelling and database design principles.Excellent problem-solving and communication skills.Desirable Experience
Experience with Databricks or Apache Spark.Exposure to streaming technologies such as Kafka.Experience supporting AI, Machine Learning, or Advanced Analytics projects.Knowledge of CI/CD practices and Infrastructure as Code.Experience working within Agile environments.What's on Offer
Competitive salary and benefits package.Hybrid and flexible working arrangements.Opportunity to work on enterprise-scale data and cloud transformation projects.Exposure to modern cloud technologies and AI initiatives.Clear career progression and professional development opportunities.Collaborative and innovative working environment.GCS is acting as an Employment Business in relation to this vacancy.
Read lessJob titleData Science EngineerJob TypeContract (6 Months)Client / IndustrySoftwareLocation Reading (Hybrid/ Remote) Key roles and responsibilities Design and... Read more
Job title
Data Science Engineer
Job Type
Contract (6 Months)
Client / Industry
Software
Location
Reading (Hybrid/ Remote)
Key roles and responsibilities
Design and deliver a sophisticated EDU rSAM (remaining sales addressable market) model to quantify untapped revenue opportunities across global education markets.Partner cross-functionally with key stakeholders to deeply understand the complexities of the education sector, including diverse subscription models, institutional procurement structures, and consortium-based purchasing dynamics.Collaborate with Data Engineering teams to integrate and operationalise third-party datasets e.g. student population and institutional metrics to create rich, actionable customer intelligence profiles.Work closely with the Product Marketing and Sales Strategy teams to align analytical outputs with go-to-market strategies, pricing frameworks, and commercial objectives at the product-offering level.Design, build, and productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs.Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities.Deliver high-impact strategic insights on market opportunity sizing and customer propensity trends to senior leadership, enabling data-driven decision-making and long-term commercial planning.
Skills Looking for:
5+ years of advanced SQL expertise, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments.Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling.Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance.Experience with propensity modelling and related predictive analytics techniques is highly advantageous.Exceptional ability to translate complex analytical findings into clear, compelling insights for senior stakeholders and cross-functional audiences.Strong analytical thinking and problem-solving skills, with proven success operating in fast-paced, high-growth environments with evolving business priorities.GCS is acting as an Employment Business in relation to this vacancy.
Read lessSenior Data EngineerDublin, Ireland | Hybrid | 12-month ContractAbout the CompanyOur client is a large, global technology-driven organisation... Read more
Dublin, Ireland | Hybrid | 12-month Contract
About the CompanyOur 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 RoleAs 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.
Read lessData Engineers & Data AnalystsNotre client recherche actuellement des Data Engineers et des Data Analysts pour participer à... Read more
Data Engineers & Data Analysts
Notre client recherche actuellement des Data Engineers et des Data Analysts pour participer à un projet passionnant orienté data. Il s'agit d'une excellente opportunité de contribuer à la mise en place et à l'exploitation de plateformes de données modernes afin de soutenir les analyses métier et la prise de décision.
Localisation : Belgique
Mode de travail : Hybride
Postes disponibles
Data Engineers
Construire et maintenir des pipelines de données et des architectures évolutivesConcevoir des data lakes, data warehouses et solutions basées sur le cloudGarantir la qualité, la performance et la fiabilité des données
Data Analysts
Analyser et interpréter les données afin de générer des insights exploitablesDévelopper des tableaux de bord et des rapportsCollaborer avec les parties prenantes pour soutenir des décisions basées sur les données
Exigences clés
Data Engineers: Python, processus ETL et expérience des technologies cloudData Analysts: solides compétences en SQL et expérience avec des outils de reporting tels que Power BIBonne compréhension de la modélisation des données et des concepts de data warehousingMinimum 2 ans d'expérience dans un rôle lié à la dataMaîtrise du néerlandais ou du français, ainsi que de l'anglais
Ce que nous recherchons
Solides compétences analytiques et de résolution de problèmesCapacité à travailler dans un environnement collaboratif et orienté projetSens du détail et passion pour la data
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessData Engineers & Data AnalystsOnze klant is momenteel op zoek naar zowel Data Engineers als Data Analysts voor... Read more
Data Engineers & Data Analysts
Onze klant is momenteel op zoek naar zowel Data Engineers als Data Analysts voor een boeiend data‑gedreven project. Dit is een uitstekende kans om bij te dragen aan het bouwen en benutten van moderne dataplatformen ter ondersteuning van businessinzichten en besluitvorming.
Locatie: België
Werkmodel: Hybrid
Beschikbare rollen
Data Engineers
Bouwen en onderhouden van schaalbare datapijplijnen en data-architecturenOntwerpen van data lakes, datawarehouses en cloudgebaseerde oplossingenWaarborgen van datakwaliteit, prestaties en betrouwbaarheid
Data Analysts
Analyseren en interpreteren van data om bruikbare inzichten te genererenOntwikkelen van dashboards en rapportagesSamenwerken met stakeholders om data-gedreven beslissingen te ondersteunen
Belangrijkste vereisten
Data Engineers: Python, ETL-processen en ervaring met cloudtechnologieënData Analysts: Sterke SQL-vaardigheden en ervaring met rapportagetools zoals Power BIInzicht in datamodellering en datawarehousingconceptenMinimaal 2 jaar ervaring in een relevante datafunctieVloeiend in Nederlands of Frans, en Engels
Wat we zoeken
Sterke analytische en probleemoplossende vaardighedenVermogen om te werken in een samenwerkende, projectmatige omgevingNauwkeurigheid en een passie voor data
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessData Engineer Onze klant is op zoek naar een Data Engineer die schaalbare datapijplijnen en data-architecturen kan bouwen,... Read more
Data Engineer
Onze klant is op zoek naar een Data Engineer die schaalbare datapijplijnen en data-architecturen kan bouwen, onderhouden en optimaliseren. De rol richt zich op het leveren van betrouwbare dataoplossingen ter ondersteuning van analytics en zakelijke besluitvorming.
Locatie: België
Werkmodel: Hybride
Belangrijkste verantwoordelijkheden
Ontwikkelen en onderhouden van ETL/ELT-datapijplijnenOntwerpen en beheren van data lakes, datawarehouses en lakehouse-oplossingenWaarborgen van datakwaliteit, beveiliging en prestatiesSamenwerken met analytics- en business teamsOndersteunen van real-time en batchverwerking van dataImplementeren van monitoring, automatisering en CI/CD-praktijkenVereisten
Ervaring met werken in cloudplatformen (zoals Azure, AWS of GCP), inclusief hun kernservices voor opslag, verwerking en integratie, evenals gerelateerde tools zoals Snowflake, Spark, Kubernetes en TerraformErvaring met Snowflake is een groot pluspunt; als je dit nog niet hebt, krijg je de kans om dit te leren binnen het teamMinimaal 2 jaar ervaring in data engineering of een vergelijkbare rolVloeiend in Nederlands of Frans, en Engels
GCS is acting as an Employment Agency in relation to this vacancy.
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