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Builds and maintains data models in dbt, aligns metrics with sales and operations, and supports A/B testing for a car-rental startup.
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data, orchestrating workflows with Airflow for cross-functional teams.
Designs and maintains scalable data pipelines on Google Cloud Platform, focusing on ETL processes, serverless apps, and BI dashboards using Airflow, BigQuery, and Python.
Designs, builds, and maintains data pipelines/ETL solutions using Airflow, Snowflake, and Python to integrate/transform company data for long-term digital growth.
Designs, builds, and maintains scalable data pipelines and automation solutions with a focus on AI, integrating ERP, databases, and APIs to transform and analyze company data.
Designs, deploys, and maintains scalable data pipelines for a healthcare tech product using Python, SQL, Airflow, and AWS.
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
Build and maintain Asevia’s data platform and AI tools, converting raw data into products like internal dashboards and integrations using Python, SQL, Dagster, and TypeScript.
Desde Agap2 estamos buscando incorporar un perfil de Data Engineer – Data Products con experiencia en construcción de pipelines de datos y Big Data, orientado a la creación de productos de datos y a la puesta en…
Fracttal is seeking a Python Developer to work on backend integrations using Airflow and Claude Code for AI-native workflows. The role involves maintaining REST APIs and collaborating with international teams.
Designs scalable, reusable business-aligned analytical data models, translates business needs into data products, and ensures data quality, performance, and observability in pipelines. Core tools: SQL, dbt/Airflow, data modeling, and CI/CD.
Lead Data/Analytics Engineer owning event instrumentation pipelines (Segment, Amplitude), building data models and metrics layers (Snowflake, dbt, Prefect), and partnering with product managers on experiment design and analysis at a veterinary telemedicine company.
The Senior Data Engineer will lead the design and implementation of enterprise-wide data quality frameworks and scalable data pipelines. The role involves working with Databricks, Delta Lake, Power BI, and Informatica to ensure data reliability and drive business insights.
The Senior GCP Data Engineer will design and optimize large-scale data platforms and cloud-native solutions using PySpark, Python, BigQuery, and Kafka. The role focuses on building scalable ETL/ELT pipelines and real-time data processing frameworks within an enterprise environment.
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data models to support cloud cost visibility and performance insights. The role involves using SQL, Python, and cloud-native tools like AWS and Snowflake to build actionable data systems for cross-functional teams.
Lead a small data engineering team to design, build, and scale WeRoad’s cloud-based data platform (BigQuery, dbt, Airflow) for travel experiences, focusing on real-time pipelines, self-service BI, and AI-driven insights across global markets.
Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load,…
Builds and deploys AI/ML pipelines and data infrastructure for DHL’s global logistics operations, using cloud (Azure/GCP) and on-prem tools like Spark, Kafka, and Kubeflow to process petabytes of transactional data into predictive models and analytics.
Build and scale Sapiom’s payments-grade data infrastructure, designing ETL pipelines, schemas, and governance to power real-time agent transactions and AI-driven analytics.
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