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Senior Data Engineer - Cloud ETL & Data Platforms
Designs, builds, and optimizes scalable cloud data pipelines and warehouses using SQL, Python, and AWS/Azure/GCP for reliable analytics and reporting.
Senior Data Engineer – Engineering
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
T&T Consultant – Engineering, Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Senior Consultant – Engineering, Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Data Engineer
Design and maintain scalable data architectures, ETL pipelines, and data lakes on AWS for a national library and archives system, using SQL, Python, and Airflow.
Data Engineer: Scalable Pipelines, Warehousing & Cloud
Designs and builds scalable data pipelines, warehouses, and APIs to support HR analytics and backend systems for a Singapore-based HR tech company.
Data Engineer Intern
Build and maintain data pipelines for IoT and mobile products, using Python/Java/Scala and big data tools like Spark and ClickHouse to support analytics and reporting.
Data Platform Engineer
Build and maintain Payway’s data platform, including AWS-based Data Lake, Spark pipelines, and Airflow orchestration, while ensuring observability and performance.
Data Platform Engineer: Lakehouse Architect on AWS (Remote)
Design and lead the architecture of a data lakehouse on AWS, building scalable pipelines with Spark, Python, and Airflow for ingestion, transformation, and orchestration.
Software Engineer, Data Oriented - residente de ARGENTINA
Build and maintain scalable data infrastructure for top-tier VC funds, including ingestion pipelines, transformation layers, and high-performance APIs that power real-time investment decision systems.
Data Platforms - Lead QA Engineer
Lead QA Engineer building and maintaining automated test frameworks for data pipelines, ETL, and backend systems using Python, Pytest, and Databricks.
Lead QA Engineer: Data Platform & Test Automation
Lead QA Engineer designs and maintains automated test frameworks for data platforms, ETL pipelines, and backend systems using Python, Pytest, and CI/CD.
Data Engineer
Build and maintain scalable data pipelines and platforms using PySpark, Databricks, and Azure services to support analytics and AI workloads.
Senior Data Engineer
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.
Senior Manager Data Engineer - CDI (H/F) - Nexialog
Leads data-architecture projects for banks and insurers, building cloud-native data platforms, pipelines, and governance while managing teams and advising clients on data modernization and MLOps.
Tech Lead Data Engineer (H/F) - Invivoo
Lead a team of Data Engineers to build and maintain a scalable Big Data platform for a major capital-markets client, using Scala, Spark, and cloud services.
Senior Java Software Engineer Medellin, Colombia, Remote
Builds a high-throughput, distributed advertising marketplace platform in Java/Kotlin/Spring Boot, designing scalable ledgers, API contracts, and cross-team integrations with AWS-native infrastructure while leveraging AI coding agents in production workflows.
Data Architect
Designs and modernizes enterprise data architectures for a financial-sector project, migrating systems to cloud and implementing data governance, lakes, warehouses, and streaming pipelines.
Azure Data Engineer
Design and implement Azure Data Factory pipelines, manage ADLS storage, and build ETL workflows using Python, Scala, and PySpark.
Data engineer
Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.