data-engineer

Qodea is a leading cloud technology partner specializing in Google Cloud solutions. With over 15 years of experience and more than 300 experts, Qodea helps businesses unlock the full potential of Google's cloud technology to drive digital transformation and achieve real-world success. As Europe's largest dedicated Google Cloud partner, Qodea supports major brands in harnessing cloud technology, ensuring seamless transitions, and maximizing business value. The company offers comprehensive services in infrastructure modernisation, data activation, AI integration, and security, tailoring solutions to meet UK and EU regulatory requirements.

Qodea (formerly Appsbroker CTS) is Europe's largest Google Premier only transformation partner. With a clear offering, built around our core capabilities of security & infrastructure, data activation & AI and modernisation & innovation and a strong legacy of delivering customer success over two decades, we’re determined to help more organisations across the UK, Benelux and wider Europe unlock the potential of Google technologies in ways they’ve not yet imagined.

Qodea

• Architect and implement scalable data pipelines for batch and real-time ingestion and processing.
• Build sophisticated transformations for attribute extraction, normalisation, and entity resolution.
• Develop knowledge infrastructure, including metadata layers, product graphs, and ontologies.
• Collaborate with domain experts to define taxonomies and classification schemas.
• Enforce data contracts and validation rules to ensure consistency and lineage across the organisation.
• Promote engineering best practices around testing, documentation, and observability for data workflows.

Principal Data Engineer

Principal Data Engineer responsible for architecting scalable data pipelines and building high-quality data foundations. Collaborating closely with experts to ensure data readiness for advanced analytics.

• Build and monitor batch and real-time data pipelines to ingest and process product and consumer data.
• Implement data transformations for deduplication, entity resolution, and feature engineering.
• Optimise pipeline performance and ensure high availability in GCP environments.
• Maintain metadata layers and embeddings for use in ML and personalisation services.
• Ensure data quality through rigorous validation rules and automated monitoring.
• Work closely with ML engineers to provide high-quality data for model training.

Senior Data Engineer

Senior Data Engineer building and maintaining data pipelines for cloud and AI solutions at Qodea. Collaborating with ML engineers and focusing on reliability and performance in a cloud-native environment.

Creamos experiencias de entretenimiento globales.#SomosLeader 🙌🏻

Leader Entertainment

• Diseñar, desarrollar y mantener modelos de datos en BigQuery, aplicando particionado, clustering y optimización de costos y performance.
• Desarrollar y orquestar transformaciones utilizando Dataform (SQLX), implementando modelos incrementales, gestión de dependencias, estándares de naming y documentación.
• Construir pipelines y automatizaciones en Google Cloud Platform, incluyendo ingestas desde Cloud Storage hacia BigQuery y orquestaciones programadas.
• Desarrollar servicios y jobs en Python para integraciones, consumo de APIs, validaciones de datos, automatización de cargas y conectores internos.
• Empaquetar y desplegar servicios en Cloud Run (jobs o servicios HTTP), asegurando observabilidad mediante logs y métricas, y garantizando escalabilidad.
• Aplicar buenas prácticas de ingeniería de software: control de versiones con Git, revisiones de código, testing y procesos de CI/CD.
• Colaborar con equipos de negocio, analytics y data para definir métricas, fuentes de datos y asegurar su calidad y disponibilidad.

Data Engineer

Data Engineer for Leader Entertainment developing data solutions on Google Cloud Platform. Collaborating on data models, pipelines, and analytics in a hybrid role.

Ankura is a leading global expert services and advisory firm, specializing in providing strategic advisory solutions across a multitude of industries. The company empowers clients by leveraging artificial intelligence to enhance decision-making, automate processes, and secure competitive advantages. Ankura is adept at handling crisis situations by offering strategic solutions that protect, create, and recover value for clients. The firm's multidisciplinary team collaborates to implement custom solutions that manage risk, compliance, and transformation challenges efficiently.

Ankura Consulting Group, LLC is an independent global expert services and advisory firm that delivers services and end-to-end solutions to help clients at critical inflection points related to change, risk, disputes, finance, performance, distress, and transformation. The Ankura team consists of more than 1,800 professionals in more than 35 locations globally who are leaders in their respective fields and areas of expertise. Collaborative lateral thinking, hard-earned experience, expertise, and multidisciplinary capabilities drive results and Ankura is unrivaled in its ability to assist clients to Protect, Create, and Recover Value.

Ankura

• Define and own the architecture of cloud-based data platforms across client engagements.
• Lead large-scale ETL and data platform implementations using tools such as Databricks, Snowflake, and equivalent technologies.
• Establish reference architectures, delivery standards, and engineering best practices.
• Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms.
• Estimate, plan, and govern delivery across multiple projects and workstreams.
• Partner with client stakeholders to align data platform design with business objectives.
• Mentor, coach, and develop data engineers and technical leads.
• Ensure platforms meet expectations for scalability, reliability, security, and cost efficiency.
• Support pre-sales activities, including solution design and technical estimates.

Director, Data Engineering – Cloud Data Platforms

Director of Data Engineering leading design and delivery of cloud-based data platforms at Ankura. Significant experience in data engineering and strong team leadership required.

CloudHesive is a leading provider of innovative cloud solutions and managed services, specifically tailored for AWS technologies. They specialize in AWS migrations, operational and cost optimization, application modernization, and managed security services. With a focus on empowering businesses through cloud technology, CloudHesive partners with customers across various sectors, including public and commercial industries, to enhance their operations and customer experiences using advanced data analytics and AI solutions.

CloudHesive is a customer-obsessed Amazon Premier Partner specializing in consulting, managed services and SaaS solutions. We help our customers get the most out of their AWS journey, providing them with our unique expertise, knowledge & assistance along every step.We specialize in helping public and private-sector customers transfer their environment from traditional datacenters to robust cloud and services-based solutions. We look for value-driven solutions that allow our customers to add flexibility, efficiency, and cost savings in order to increase productivity, without worrying about having enough space to properly and safely store sensitive/private data.CloudHesive AWS Competencies and Specializations include:Advertising and MarketingDevOps Consulting CompetencyDigital Workplace Consulting CompetencyEducation Consulting CompetencyGenerative AI ServicesLevel 1 MSSP Consulting CompetencyMicrosoft Workloads Consulting CompetencyMigration Consulting CompetencySaaS Consulting CompetencySmall and Medium Business ServicesAmazon Connect PartnerWell Architected PartnerCloudFront Delivery PartnerImmersion Day PartnerAWS Lambda Delivery

CloudHesive

• Desarrollar soluciones utilizando tecnologías de datos de AWS de vanguardia
• Determinar de dónde extraer los datos, cómo recuperarlos y construir algoritmos para que el acceso a los datos sea más sencillo y útil para los clientes
• Investigar sobre diferentes enfoques para el almacenamiento y explotación de datos en AWS
• Resolver problemas diseñando, desarrollando, probando e implementando soluciones de software
• Supervisar las métricas de rendimiento del sistema para identificar posibles riesgos/problemas
• Relevar y confeccionar análisis de datos (exploratorios, prescriptivos y/o predictivos)
• Desarrollar pipelines de extracción transformación y carga de datos de diversos tipos y orígenes, tanto en batch como en tiempo real

Data Engineer managing complete data solutions on AWS for consulting clients. Focusing on Amazon Redshift and Data Warehouse architectures in a hybrid setup.

Factorial is a comprehensive business management software that helps companies streamline their operations by automating HR tasks such as payroll, talent management, time tracking, and expense management. By centralizing administrative processes, Factorial allows businesses to focus more on their personnel development and efficiency, providing a user-friendly platform to manage everything from employee absences to performance evaluations. With integration capabilities and a strong emphasis on data-driven decision-making, Factorial supports organizations in optimizing their workflows and improving productivity.

The business software to manage your whole team.With over 12.000 clients worldwide in more than 95 countries, Factorial is one of the leading business management softwares for SMEs. We provide intuitive solutions that automate and centralize administrative tasks to provide insights and help your business run smoothly.Factorial was founded in 2016 in Barcelona and experienced quick growth due to the fact that so many businesses face the same challenge: wasting time on never-ending manual tasks. A few years later, in 2022, Factorial became a Unicorn, propelling us forward to continue on our mission of providing your business with a one-stop-shop solution for all people processes. Factorial offers solutions like time management, talent management, recruitment, expenses, analytics, document management to name a few. Our all-in-one, user friendly platform makes it easier for businesses to focus on matters, the people within it.

Factorial

• Diseñar y desarrollar procesos de integración de datos (ETL/ELT).
• Modelar datos y construir pipelines y data flows con Microsoft Fabric, Azure Data Factory y/o Azure Synapse Analytics.
• Crear y administrar Data Lakes, data marts, cubos y capas de acceso a datos.
• Implementar procesos de integración continua (CI/CD) con Azure DevOps, GitHub u otras.
• Colaborar en la definición y evolución de arquitecturas de datos.
• Utilizar herramientas analíticas como Power BI y/o MicroStrategy.
• Participar en proyectos de Data Warehousing sobre bases de datos de gran tamaño.

Senior Data Engineer – Azure

SR Data Engineer role at IT4W focusing on data integration and modeling using Azure technologies. Collaborating on innovative projects with a focus on data-driven decision making.

Hybrid Data Engineers roles in Argentina

Browse 6 hybrid data engineers roles hiring in Argentina plus related opportunities such as data architect, analytics engineer and product analyst.

6 jobs found

Principal Data Engineer

Qodea

Senior Data Engineer

Qodea

Data Engineer

Leader Entertainment

Director, Data Engineering – Cloud Data Platforms

Ankura

Data Engineer

CloudHesive

Senior Data Engineer – Azure

Factorial