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Azure Data Engineer
Build and optimize Azure-based data pipelines using Python, Spark-SQL, and Azure services like Databricks and Data Factory.
Data Engineer: Build Scalable Pipelines & Cloud Data
Design, build, and maintain scalable data pipelines and cloud architectures using Python, SQL/NoSQL, Databricks, and Azure Data Factory.
Consultant Data Engineer
Build and optimize cloud-based data pipelines and ML infrastructure for client projects and internal AI tools using Python, Docker, Kubernetes, and GCP/AWS/Azure.
Lead Data Engineer
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Platform Data Engineer
Build and maintain a scalable data platform for a Dutch gambling organization using Azure Databricks, Python, and Spark to enable real-time fraud detection and responsible gaming analytics.
Medior Data Engineer
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Consultant Data Engineer
Build and deploy cloud-native data pipelines, ML infrastructure, and DevOps tooling for consulting projects using Python, Docker, Kubernetes, and GCP/AWS/Azure.
Data Engineer
Build and maintain data pipelines, integrate systems, and ensure reliable data flows using Python, Kafka, and cloud tools for analytics and AI-driven insights.
Data Engineer
Builds scalable ETL pipelines and data models using Java, Spark, Flink, Kafka, and NoSQL to process raw intelligence data into actionable insights for national security investigations.
Data Engineer
Designs, builds, and maintains data pipelines and warehouses using Microsoft Azure, SQL/NoSQL, and Python/Java/Scala to support analytics and AI workloads.
Data Engineer
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
Data Engineer - Hybrid, Pipelines & Dashboards
Designs and maintains data pipelines and dashboards for an insurance company, solving analytical challenges with SQL/NoSQL and DevOps tools.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure to deliver high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Data Engineer
Build and optimize cloud-based data platforms for clients using Microsoft Azure, Python, SQL, and ETL tools to transform raw data into reliable, scalable pipelines for analytics and AI.
Data Engineer
Build cloud-based data pipelines and architectures for a fintech firm that automates financial due-diligence analyses, enabling M&A teams to deliver data-driven insights to clients.
Data Engineer
Builds and maintains data pipelines, ETL processes, and data models for a Dutch insurer, ensuring reliable and actionable data for analytics and decision-making.
Data Engineer
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Data Engineer
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Cloud Data Engineer: Build Scalable Data Pipelines
Design, build, and maintain scalable cloud data pipelines and infrastructure to ensure high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Java Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines in Java, ensuring high-quality, analytics-ready data for cross-functional teams using Hadoop/Spark and cloud platforms.