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Data Engineer Snowflake - Qatar
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
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
Designs and builds scalable data pipelines and warehouses using GCP/BigQuery, SQL, and ETL tools to feed analytics and reporting for a fintech platform.
Data Engineer (OT Data)
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.
Data Engineer - Batch and Streaming Pipelines @ Belvedere Recruitment
Design and build scalable batch and streaming data pipelines using Apache Spark and Airflow, then transform raw data into clean, reliable datasets with SQL and dbt.
Expert Data Engineer
Design and build scalable data platforms, ETL/ELT pipelines, and cloud data warehouses using GCP tools like BigQuery, DBT, Airflow, and Trino to support data-driven decisions.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using GCP, BigQuery, DBT, Airflow and Trino to enable scalable analytics and data-driven decisions.
Senior Data Engineer
Build and maintain a modern data platform (Snowflake, dbt, Dagster) that ingests, transforms, and serves data to product and analytics teams across the company.
Staff Data Engineer
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
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.
Senior Software Engineer in Test, Data / ETL (Remote - EMEA)
Designs and runs automated tests for cloud-native data pipelines (BigQuery, Airflow, Cloud Run) to ensure data quality and reliability in ETL workflows.
Cloud Infrastructure Engineer (Big Data Platform) (f/m/d)
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 Software Engineer In Test, Data / Etl
Senior QA engineer builds and maintains automated tests for cloud-native ETL pipelines, ensuring data quality and reliability across BigQuery, Airflow, and GCP systems.
Hybrid Technical Data Analyst - Building Production-Grade Pipelines
Build and deploy production-grade data pipelines in Python/SQL, using Airflow/dbt and FastAPI/Flask to turn prototypes into scalable analytics services.
Cloud Infrastructure Engineer (Big Data Platform) (f/m/d)
Build and run a cloud-native Big Data platform on IONOS infrastructure, owning Kubernetes, ArgoCD, Terraform, and open-source tools like Trino and Airflow to support AI/BI across the IONOS Group.
Senior AI Engineer / Data (Document AI), Madrid
Build and deploy AI-powered document processing systems using Python, NLP, OCR, and LLMOps in a production Kubernetes environment.
STACKIT Data & AI - Software Engineer (m/f/d)
Build and extend a sovereign cloud Data & AI platform using Go, Kubernetes, and open-source tools like Kafka and Spark.
Software Engineer - Data & AI Platform - STACKIT (m/f/d)
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.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Senior Python Backend Engineer - Microservices & Data
Senior Python engineer building scalable microservices and distributed systems with PostgreSQL, ClickHouse, Kafka, and Redis in a product-focused team.