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Builds and optimizes ML platforms, data-driven search systems, and cloud migrations with mentorship; works with clients like IKEA, ProRail, and Bol.com.
Designs and builds cloud-based data lakes, warehouses, and lakehouses while developing scalable data pipelines. Collaborates with clients and experts to ensure data quality, governance, and CI/CD integration for business-driven solutions.
Senior Data Engineer designing and building data infrastructure and pipelines for an energy grid company, working with data scientists and platform engineers on data-driven solutions for the energy transition. Coaches junior/mid-level engineers and guards architecture quality and scalability.
Design, develop, and maintain data pipelines using Databricks on Azure and AWS with Python, PySpark, and Pandas, working within Agile/DevOps teams on client projects.
Designs, builds, and optimizes Azure Databricks-based data pipelines and lakehouses for clients, ensuring reliability, performance, and security while advising on AI and governance improvements.
Designs, builds, and maintains scalable data pipelines to prepare AI-ready data for government clients like tax authorities and municipalities, leveraging modern cloud technologies.
Lead a team to build and integrate a modern MarTech platform for a banking client, focusing on CDP activation and omnichannel data solutions.
Senior Data Engineer building and maturing a scalable Azure/Databricks data platform for an accounting and advisory firm in Utrecht, developing PySpark/SQL pipelines, data models, and CI/CD workflows.
Data engineer managing ETL processes with FME Form/Flow, advising on data sourcing, and unlocking data into an Oracle data warehouse for a Dutch municipality.
Unlock, structure, and translate complex data into reliable dashboards and reports at Enexis (energy utility), bridging business and IT using Power BI, Excel/VBA, DataVault, and ETL processes.
Senior Data Engineer in Amsterdam focusing on designing and operating high-quality data pipelines on a Big Data Platform, collaborating with stakeholders, and championing data best practices. Core technologies include Python, PySpark, Airflow, Hadoop, Spark, Kafka, and SQL.
Senior Data Engineer designing and operating enterprise-scale data pipelines for energy trading clients, primarily using Python, Kafka, Snowflake, Oracle and PL/SQL.
Design and build scalable Microsoft-based data pipelines and Power BI reports to enable data-driven decisions in a biotech company.
Senior Data Engineer building a data platform from the ground up for a climate-tech hardware startup in greenhouse horticulture, designing data warehouses, IoT ingestion pipelines, and cloud infrastructure using tools like Databricks, Snowflake, and Azure Data Factory.
Data Engineer at an IT consultancy placed on varied client projects (mobility, energy, finance), handling data architecture, ETL/ELT, and real-time analytics using Python/Java/Scala/Rust, SQL, cloud platforms, and big data tools like Databricks and Snowflake.
Senior Data Engineer building the technical foundation for a municipality's central data platform, ensuring safe and reliable data integration from various systems.
Data Engineer owning an Azure data platform for a climate tech hardware company, building real-time and batch pipelines with Event Hubs and Databricks to connect IoT telemetry data to business teams.
Data Engineer at a Dutch ML/data engineering consultancy running a 2-year development program; you'll work on diverse client projects using Python, Scala, Spark, Kafka, Docker, Kubernetes, and cloud platforms (GCP, Azure, AWS).
Data Engineer strengthening an Azure Data Vault datawarehouse via pipeline monitoring, parameterization, and unit testing using Azure Data Factory, SQL, and Python in Agile sprints for a Dutch safety region.
Data Engineer (32 hrs/week) at municipality Land van Cuijk managing ETL processes in FME Form/Flow, integrating on-premise and cloud data sources into an Oracle data warehouse, and advising on data liberation for new applications.
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