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Principal Data Engineer builds and leads a cloud-native data platform for a healthcare analytics company, designing scalable pipelines, governance frameworks, and AI/ML integrations while mentoring teams.
Senior Data Engineer at Spanish tech consultancy Paradigma Digital, working remotely (or hybrid) on cloud data projects: designing, building and maintaining batch and streaming data pipelines on AWS, Azure or GCP using Python, Apache Airflow and Kafka, plus ensuring data quality, integration and lifecycle management.
Data Engineer at AllCloud joining the development team for a core data warehouse project and AI initiatives: ingesting large volumes of data, building and optimizing large-scale data pipelines in cloud and on-prem environments, and analyzing data alongside Data Scientists. Core stack includes Python, Spark, dbt, Airflow/Kubeflow, Docker/Kubernetes and AWS data services.
Site Reliability Engineer on IMC's Sydney data engineering team, operating and scaling a large-scale data platform (Kafka, HDFS, Dremio, in-house pipelines) that powers trader analysis, simulation and reporting, with heavy focus on automation, CI/CD and reliability, collaborating with teams in Chicago, Mumbai and Amsterdam.
Software Developer on the Platform Engineering team building and maintaining cloud-native backend services and frontend components for Nakisa's enterprise SaaS platform, using Java, Spring Boot, Vue.js, and microservices architecture in a hybrid Montréal setting.
Senior Data Engineer builds and leads scalable GCP data pipelines and warehouses using BigQuery, Python, and SQL to power analytics and AI for clients.
Lead the architectural design and implementation of an enterprise data warehouse on AWS, creating robust data pipelines and infrastructure using services like Redshift, Glue, Athena, EMR, and supporting BI and AI solutions while mentoring the data engineering team.
Junior Data Engineer joining Codeway's Cerebro team in Barcelona to build and maintain the data platform behind 60+ consumer AI apps and 400M+ users — building event pipelines, SQL/BigQuery warehouse models, and Looker/LookML layers, with growth into Pub/Sub, Dataflow, dbt, and Airflow while working daily with agentic AI coding tools.
Semi-Senior Data Engineer at Banco Santander Argentina who designs and builds ETL/ELT pipelines, orchestrates workflows with Apache Airflow, and implements cloud data architecture on AWS (S3, Glue, Athena) using advanced Python and SQL, while ensuring data quality, governance and production reliability.
Principal Data Engineer at Hims & Hers designs and leads the company-wide data platform architecture, ensuring scalable, compliant, and cost-efficient data infrastructure for healthcare and wellness services using GCP, Kafka, BigQuery, and modern data stack tools.
QBrainX is hiring a Data Engineer in Coimbatore to design, build, and optimize scalable ETL/ELT data pipelines and analytics-ready datasets. Day-to-day work centers on Python, SQL, PySpark, Databricks, AWS, Azure, and Snowflake, with CDC/SCD patterns and BI support via Power BI/QuickSight.
The Data Engineer will design and build scalable, cloud‑native data platforms and lakehouse architectures on AWS, creating ETL/ELT pipelines, integrating AI/ML components, and collaborating with customers to translate business needs into technical solutions.
Senior DevOps engineer building the infrastructure and platform for a bank's MLOps center of expertise (via Usetech): deploying GitLab/GitLab CI, migrating complex pipelines from Jenkins, and configuring ML-serving components (MLflow, Seldon, Airflow, JupyterHub) on bare-metal Kubernetes.
DevOps Platform Engineer maintaining the infrastructure behind BW's trading operations and data pipelines. Day to day involves managing AWS EKS clusters with Karpenter, writing Terraform IaC, building Helm charts and CI/CD pipelines (Bitbucket Pipelines, GitHub Actions), and handling secrets, Datadog observability, and cloud cost optimization.
Senior data platform engineer at EV maker VinFast who owns and evolves the end-to-end data infrastructure on AWS: operating the Apache Doris OLAP warehouse, building Airflow batch pipelines and Kafka streaming ingestion, managing Superset BI, and running workloads on Kubernetes with CI/CD and observability.
Data engineer building the data foundation for VinFast's AI Mobility Assistant (ViTA): turning ad-hoc data drops into scheduled, dependable ingestion pipelines and data products (Vehicle360, trips, Customer360). Core stack: Python, SQL, Airflow 3, Spark/EMR, dbt, ClickHouse, and an S3 medallion lake on AWS.
Full-stack RPA/ETL engineer at Dynamic Devs in Santiago who automates processes, builds ETL pipelines, and migrates workflows to a data lake using Python, Airflow, and Talend, with secure credential management and execution traceability. The role offers flexible hours and continuous training.
Data Engineer at BC Tecnología supporting a financial institution's cloud data lake and data marts with a focus on data security and governance. Day to day involves building and optimizing Python ETL/ELT processes, designing views and pipelines, and ensuring traceability and access control, using Airflow, advanced SQL, and GCP/AWS.
Data Engineer hired via IT consultancy BC Tecnología to work at a financial institution in Santiago, analyzing, optimizing and securing data processes that handle personal/sensitive data. Day to day: tune SQL/Python ETL/ELT in cloud (GCP/AWS), enforce least-privilege access, masking/anonymization, audit trails, and Data Lake/Data Mart integration using Airflow and Git.
Full-stack engineer focused on securing and adapting RPA bots, ETL pipelines and automations that access personal data: moving them to credential vaults, least-privilege technical accounts and controlled sources/Data Lake, while documenting flows and coordinating tests. Core tech: RPA, ETL, Python, Airflow, SQL/Oracle, GCP/AWS, Git.
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