Tech jobs
Job listings
Data Engineer
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Data Engineer: Build Scalable Data Lakehouse & Pipelines
Build and maintain scalable data lakehouse architectures and ETL pipelines to feed BI, analytics, and AI workloads for a product company.
Data Engineer
Designs and builds end-to-end cloud data platforms using Microsoft Fabric and Azure, setting standards and guiding teams to create scalable, reusable data architectures and pipelines.
Full Stack Engineer (Data & Product Engineering)
Build and maintain data pipelines and dashboards for Mondelēz’s Media Data Platform, integrating adtech data to deliver AI-driven insights and scalable reporting tools for internal stakeholders.
Senior Full Stack Data & Analytics Developer – Azure Synapse / Microsoft Fabric / Power BI
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
Senior Python Developer
Build enterprise-grade Python applications that power AI-driven finance tools, collaborating with data scientists to deploy ML models and cloud-native services.
Architect / POD Lead – Data Engineering
Lead a data-engineering team to design and build scalable GCP-based pipelines, ETL workflows, and event-driven integrations using Kafka, Spring Batch, and Python.
Data Collection Assistant (Vaga Exclusiva para PCD)
Location: Brazil (100% Remote) Please submit your resume in English. Based in Washington, D.C., Quorum is the leading provider of workflow software and information services for government affairs professionals…
Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, Snowflake, and Azure, focusing on cloud data warehousing and dimensional modeling.
Lead Data Engineering
Lead a team of trainees to build scalable GCP-based data pipelines using BigQuery, Airflow, and Dataflow, while mentoring junior engineers and enforcing data governance standards.
Senior Data Engineer til samfunnsviktige og kommersielle oppdrag
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Data Engineer
Build and maintain Coop’s data pipelines and models to ensure reliable, high-quality data flows that power analytics and AI across the business.
Azure Data Engineer - Remote, Latin America
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to move and transform data from APIs, databases, and files into scalable data warehouses.
Senior Data Governance Engineer — Monterrey Hybrid
Designs and implements data governance frameworks and ensures data quality for a data analytics consultancy working in a hybrid Monterrey office.
Data Engineering Lead: End-to-End Data Solutions
Lead a team to design and build end-to-end data pipelines and architectures that turn raw data into business insights for clients.
Data Engineer - Lima
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Lead Data Engineer
Lead data engineers design and build scalable data pipelines, modern data architectures, and analytics solutions for clients, using distributed storage/compute and TDD practices.
Senior Data Engineer
Senior data engineer building and maintaining scalable data pipelines, storage, and architectures using modern tools like data mesh, while collaborating with scientists and stakeholders.
Senior Data Engineer: Architect & Scale Data Pipelines
Design and scale robust data pipelines and architectures for analytics and applications, writing high-quality code and ensuring data governance and privacy compliance.
Senior Data Engineer - Modern Data Platforms & ETL
Design and maintain modern data platforms and ETL/ELT pipelines in cloud and on-prem, ensuring data governance and validation for clients.