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Senior Data Engineer – ETL/ELT, Data Lake, BigQuery
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
Data Engineer with Databricks (Aviation Industry)
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Senior Data Engineer — ETL & Big Data for Compliance
Designs and maintains ETL pipelines for compliance using DataStage and Python, ensuring data accuracy and regulatory adherence.
AI-Driven Process Reinvention Data Engineer
Design and implement AI-driven process reinvention solutions for clients using frameworks like crewAI and LangGraph, integrating data pipelines and process automation tools.
Cloud Data Engineer (f/m/x)
Build and maintain scalable cloud data pipelines and platforms using Azure/AWS, PySpark, and SQL to process large datasets for analytics and ML teams.
Senior Data Engineer/Data Warehouse Developer with German
Senior Data Engineer designs interfaces between operational and analytical systems, builds Kafka-based data pipelines, and ensures Oracle DWH quality for international enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer - End-to-End Warehousing with AI Hybrid
Owns end-to-end data pipelines for default management, building scalable warehouses with Oracle and DataStage while integrating AI to speed up development and ensure data protection.
Big Data Engineer with Java
Design and build scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot, while maintaining big data infrastructure on Cloudera and GCP.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Senior Data Engineer On-Premises Data Platforms
Design and maintain enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Mid/Senior Data Engineer (Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Big Data Engineer with Java
Build and maintain scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot to power ING’s data lake for analytics and compliance.
Architect/ Senior Data Engineer @ Scalo
Design and build scalable data pipelines, Data Lakes, and DWHs using BigQuery, Kafka, Airflow, and Kubernetes, with exposure to GenAI integrations.
Senior Data Engineer @ Scalo
Build and maintain data pipelines and warehouses using Oracle, PostgreSQL, BigQuery, Informatica PowerCenter, Kafka, and Python to feed analytics and ML workloads.
Data engineer (senior) - Nykredit
Senior data engineer builds and optimizes ETL pipelines and data warehousing solutions for Credit and ESG systems using SQL, Informatica PowerCenter, and Oracle.
Junior Support Data Engineer
Junior role assisting in building and maintaining a modern cloud-based data platform, working with SQL, scripting, and DataOps practices under mentorship.
Data Engineer with Snowflake (AI&Data)
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.