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Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Build and optimize AI/ML pipelines and real-time data systems for blockchain intelligence, enabling faster threat detection and insights for crypto businesses and governments.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Lead a team building and scaling healthcare-focused data systems and applications for audience intelligence, activation, and reporting in a regulated marketing cloud environment using distributed systems, AI, and cloud platforms.
Kertos ist das am schnellsten wachsende Compliance-Startup Europas . Nach unserer €14 Mio. Series A , unterstützt von führenden VCs und Business Angels, bauen wir die Compliance-Lösung für Europa – schneller,…
Design and maintain real-time and batch data pipelines using Apache Flink for a crypto exchange, collaborating with AI and engineering teams to ensure system stability.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Design and build real-time data pipelines with Apache Flink, collaborate on feature stores for ML models, and partner with AI, risk, and compliance teams to keep crypto exchange systems fast and reliable.
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Build and lead a real-time risk control platform for crypto payments, integrating fraud detection, credit scoring, and compliance using Java, microservices, and big-data tech.
Build and maintain scalable data pipelines and real-time processing using Kafka, Databricks, Spark, and Airflow to power gaming, sportsbook, payments, and marketing systems.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Build and optimize data pipelines and storage systems using Spark, Hadoop, Snowflake, and Airflow to process large-scale datasets for analytics and modeling.
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