Apache Kafka
Kafka
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Jobs in using Apache Kafka for but please no
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data engineer
(Senior) Data Engineer (f/m/x) @ audibene
DE | 2025-12-28
Audibene is hiring a Senior Data Engineer to own the data lifecycle end-to-end and build AI-ready data products rather than dashboards. The role centers on a modern stack—Airflow, Snowflake,...
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AI/ML, LLM, Analytics, Airflow, Snowflake, Kubernetes, Data Quality, dbt, ETL/ELT, Data Modelling, Cloud Computing, BigQuery, Redshift, AWS, GCP, Azure, Python, Management, ClickHouse, DuckDB, Data Streaming, Kafka, Redpanda, Kinesis, Go | ||
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data engineer
Senior Software Developer (Python) @ reeeliance-im-gmbh
DE | 2025-12-25
This role is a senior data engineer tasked with designing, developing, and maintaining robust backend systems, secure cloud infrastructure, and real-time data pipelines. The position requires deep...
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Cloud Computing, Python, Kafka, API, SQL, Data Streaming, Management, RDBMS, PostgreSQL, Snowflake, Azure, AWS, GCP, Kubernetes, IaC, DevOps, Data Science, Synapse, Git, CI/CD, Azure DevOps, GitLab, GitHub, Computer Science, Data Management, Analytics, DataOps, SAP | ||
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promoted
Masthead DataMasthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data. |
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data engineer
Senior Backend Engineer @ sumup
DE | 2025-12-25
SumUp seeks a Senior Backend Engineer to develop secure fiscal compliance solutions for European POS systems, with the unique challenge of navigating multiple jurisdictions and integrating...
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Management, Analytics, Java, Data Modelling, API, AWS, Kubernetes, Kafka, PostgreSQL | ||
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data engineer
Cloud Data Architect AWS / Google Cloud (all genders) @ adesso-se
DE | 2025-12-25
This role is a misrepresentation of what data engineering entails. The job description claims to focus on cloud data architectures and cloud analytics, but the responsibilities are vague and lack...
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Cloud Computing, Analytics, AWS, GCP, Data Lake, Data Lakehouse, Fabric, Management, Data Engineering, Big Data, Kafka, Spark, Databricks, Delta, Iceberg, DWH |