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T-Hub - Data Engineer with Java
Build and optimize batch and streaming data pipelines in Java and Apache Beam, orchestrate with Airflow, and ensure robust testing and observability for analytics workloads.
Senior Azure Data Engineer-hybrid
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Cloud Data Engineer with French
Builds and maintains cloud data pipelines on GCP, using BigQuery, Cloud Storage, and Airflow to move and process data for clients.
Senior Data Engineer (AWS)
Design and build scalable AWS data pipelines that ingest from DynamoDB, Aurora PostgreSQL, and Neptune, then curate them into an Apache Iceberg-based data lake and orchestrate with Airflow.
Data Engineer [M/F]
Builds and maintains data pipelines and ML workflows in Python, using Airflow/Kubeflow and Docker/Kubernetes on GCP to process large datasets.
Data Engineer (Managed Data Service)
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Data Engineer — Java, Beam & Streaming Pipelines
Designs and implements batch and streaming data pipelines using Apache Beam/Spark/Flink, optimizes jobs for performance and cost, and builds robust tests and observability for analytics and downstream services.
Senior Data Engineer
Designs and maintains Snowflake-based data pipelines and ETL workflows using SQL, Python, and orchestration tools like Airflow.
Cloud Data Engineer (GCP) – French Pro, Data Pipelines
Builds and maintains GCP-based data pipelines using BigQuery, Cloud Composer/Airflow, and Cloud Storage for cross-functional teams and international clients.
Senior Data Engineer - AWS Data Pipelines & Data Lake
Designs and builds scalable AWS data pipelines, data lakes on S3 with Apache Iceberg, and Airflow workflows for CDC and batch ingestion from DynamoDB, Aurora PostgreSQL, and Neptune.
Senior Data Engineer: Snowflake ETL & Data Pipelines
Designs and builds Snowflake-based ETL pipelines and data flows using SQL, Python, and orchestration tools like Airflow or dbt for analytics and reporting.
Data Engineer: Pipelines, ETL & Cloud (Python)
Builds and maintains data pipelines and ETL workflows in Python, running on Google Cloud, to process large datasets efficiently.
Data Engineer — AI Data Platform, Scale & Remote
Build and scale Joko’s AI data platform, owning reliable pipelines with Airflow, dbt, Snowflake, and cloud tools while collaborating with analysts and product teams.
Data Engineer (Google Cloud Platform)
Build and maintain GCP-based data pipelines using Cloud Dataflow, Airflow, and BigQuery, ensuring data quality and availability for business analytics and reporting.
Data Engineer: ETL/ELT Pipelines en la Nube
Build and maintain cloud-based ETL/ELT pipelines for data integration from IoT/ERP sources using Python, SQL, Snowflake, and Databricks.
data engineer for restaurant booking
Build and maintain scalable data pipelines and lakehouse infrastructure for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS.
data engineer for business analytics
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Data Engineer
Build and maintain scalable data pipelines and models for clients using cloud platforms like Snowflake and Azure, orchestrated with Apache Airflow.
Data Engineer
Builds and maintains data pipelines and analytical models using dbt and SQL to power reporting and advanced analytics for a client’s data platform.
Data Platform DevOps Engineer- 50% TW (Madrid)
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.