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Designs and maintains scalable data pipelines in Snowflake using dbt and Python, ensuring data quality and governance while supporting analytics and AI initiatives.
Designs AI infrastructure and data pipelines from scratch to enable data-driven decisions, focusing on Python and Azure technologies.
Lead and grow a global community of 350+ data engineers, setting standards and best practices while evangelizing modern data engineering tools and techniques.
Designs and maintains scalable data pipelines in Snowflake/AWS Airflow, builds dbt-based transformations, and supports AI/analytics initiatives by integrating diverse data sources into trusted datasets for business use.
Builds and maintains cloud-based data pipelines for public sector projects, ensuring scalability, security, and compliance while collaborating with clients to deliver governance-friendly solutions.
An IoT Software Engineer focused on reliability and data analysis to improve energy systems, working with telemetry data and backend development to reduce incidents and optimize fleet performance in Amsterdam.
Design and build advanced Azure-based data solutions while serving as the technical point of contact in multidisciplinary teams.
Lead a global community of data engineers, set standards, and drive adoption of modern data engineering practices across NN Group.
Build and maintain scalable data pipelines for public-sector clients, turning high-volume datasets into reliable, production-ready foundations for AI and analytics using cloud platforms like AWS, Azure, or Google Cloud.
Builds and maintains cloud-based data pipelines using Databricks, PySpark, Azure Data Factory, and Python, focusing on scalability, governance, and data quality for enterprise solutions.
Senior Data Engineer builds and maintains scalable data pipelines and models for GRESB’s sustainability benchmarks, ensuring trustworthy, well-documented data for investors and AI systems using Python, Postgres, and cloud-native tools.
Senior Data Engineer builds scalable data platforms and pipelines using Python, PySpark and SQL to enable analytics and AI at VodafoneZiggo.
Builds and maintains ETL pipelines for energy data using Python, SQL, Snowflake, and dbt to ensure efficient processing and data quality in an agile team.
Builds and maintains scalable data pipelines in Azure and Databricks using Python and PySpark to feed analytics and dashboards.
Designs, builds, and maintains scalable data pipelines, APIs, and backend services in Python/SQL to integrate energy data sources for government-led climate initiatives.
Designs and maintains scalable Azure data pipelines using Databricks, PySpark, and Azure Data Factory while ensuring data governance and quality.
Senior Data Engineer builds and refines scalable data pipelines in Python, integrates and models data from registries, and deploys solutions on Kubernetes to deliver reliable, reusable data products for government decision-making.
Builds and maintains cloud-based data pipelines using Databricks, PySpark, Azure Data Factory, and Python to ensure scalable, high-quality data processing and governance in enterprise environments.
Designs and maintains cloud-based data pipelines using Python, PySpark, and Azure to integrate, transform, and secure data from ERP/CRM systems for SME clients, ensuring quality and scalability for analytics and reporting.
Designs and builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, and modern tools like Databricks and Snowflake to turn raw data into actionable insights for clients and internal products.
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