Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
Builds data pipelines that feed downstream applications, including AI agents, using Google BigQuery and SAP.
Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
CI&T helps large enterprises transform with AI and technology solutions. With 6,000+ employees across 25+ countries, they foster a collaborative culture focused on innovation and real business impact.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Build and maintain ETL/ELT pipelines to onboard new data sources and ensure reliable data delivery to the platform.
Collaborate with cross-functional teams to support data models, infrastructure, and data governance standards.
Explore and pilot new tools to improve pipeline reliability and onboarding speed.
B Lab is the nonprofit behind Certified B Corporations, a community of businesses that meet verified social, environmental, and governance standards. They are a global nonprofit with a mission-driven team working towards economic systems change.
Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
Collaborate with business and data science teams to operationalize AI/ML models.
Implement CI/CD practices, data governance, and quality controls.
The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Design and build scalable data pipelines using Apache Spark and cloud technologies.
Develop and maintain data integrations and transformation processes from multiple sources.
Collaborate with technical teams to ensure data quality and optimize data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on using technology to streamline the hiring process and offer a remote work environment.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Design, build, and maintain scalable data platforms and solutions for business needs.
Optimize robust data pipelines using Databricks and modern frameworks.
Manage CI/CD pipelines for automated deployments and act as technical advisor.
Tieto Tech Consulting is a digital accelerator that combines business design with software engineering to drive innovation. With around 280 employees across Austria and Germany, they foster an open, collaborative culture and are part of a global team of 8,000.
Support and evolve existing SQL Server data platforms and ETL solutions.
Develop and maintain data pipelines using Azure Databricks, PySpark, and SQL.
Collaborate with BI teams to support Power BI and reporting platforms.
Miratech is a global IT services and consulting company that helps visionaries change the world. They retain nearly 1000 full-time professionals with a culture of relentless performance and over 99% project success rate.
Own end-to-end customer engagements, architecting multi-cloud deployments and writing production-grade code.
Build complex data pipelines and integrations across cloud data platforms like Snowflake and Databricks.
Mentor junior engineers, influence product evolution, and serve as a cross-functional catalyst across Sales, Product, and Engineering.
Matillion is the company behind Maia, the AI Data Automation platform that eliminates manual data engineering. They have teams across the UK, US, and India, and are driven by curious, energetic people who move fast and think big.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Design, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.