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Design and maintain a data warehouse, build reliable pipelines, and enable data-driven decisions using Python, SQL, dbt, and BI tools like Metabase or PowerBI on GCP with Airflow orchestration.
Build and maintain data pipelines that ingest streaming, royalty, and social-media data to power analytics and business decisions in the music industry.
Build and maintain scalable data pipelines, integrate databases, and ensure data quality using ETL tools, SQL, Python, and cloud platforms.
Postdoctoral role researching machine learning, federated learning, and explainable AI for healthcare, energy, and smart infrastructure, deploying models on edge/cloud and publishing findings.
Senior Data Engineer builds and optimizes Snowflake-based cloud data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Senior Data Engineer builds and optimizes Snowflake-based data pipelines and cloud-native platforms, mentors junior team members, and collaborates with clients to modernize their data infrastructure.
Design and build scalable data pipelines and warehouses using GCP, BigQuery, and Airflow to integrate ERP/CRM data for analytics and reporting.
Senior Data Engineer builds and optimizes cloud-native Snowflake data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Designs and builds scalable data pipelines and warehouses using GCP/BigQuery, SQL, and ETL tools to feed analytics and reporting for a fintech platform.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Build and maintain a modern data platform (Snowflake, dbt, Dagster) that ingests, transforms, and serves data to product and analytics teams across the company.
Build and own the data foundation for Zendesk’s product analytics, designing scalable pipelines, semantic layers, and standards to power data-driven decisions and AI-assisted workflows.
Senior Data Engineer builds and maintains GCP-based batch and real-time pipelines (Kafka, BigQuery, Airflow) for analytics, reporting, and AI/ML use cases in a regulated fintech.
Designs and runs automated tests for cloud-native data pipelines (BigQuery, Airflow, Cloud Run) to ensure data quality and reliability in ETL workflows.
Build and run a self-hosted cloud Big Data platform using Kubernetes, ArgoCD, Terraform, and open-source tools like Trino and Airflow to support AI/BI across IONOS.
Senior QA engineer builds and maintains automated tests for cloud-native ETL pipelines, ensuring data quality and reliability across BigQuery, Airflow, and GCP systems.
Build and deploy production-grade data pipelines in Python/SQL, using Airflow/dbt and FastAPI/Flask to turn prototypes into scalable analytics services.
Build and deploy AI-powered document processing systems using Python, NLP, OCR, and LLMOps in a production Kubernetes environment.
Build and extend a sovereign cloud Data & AI platform using Go, Kubernetes, and open-source tools like Kafka and Spark.
Build and extend a sovereign cloud Data & AI platform using Kubernetes, Go, and open-source tools like Kafka and Spark to automate service lifecycle management.
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