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Lead a data engineering team to build and maintain a scalable, reliable data platform for a pharmaceutical company, designing pipelines, integrations, and governance to turn raw data into actionable business insights.
Design and implement SAP data & analytics solutions (SAP Datasphere, HANA Cloud, BW/4HANA) and modernize customer landscapes with scalable pipelines.
Build and maintain APIs and databases to process large geospatial datasets, enabling fast, reliable delivery of Earth observation insights for climate and sustainability challenges.
Build and prototype AI-driven media tools: experiment with ML models, React/TypeScript front-ends, and Python back-ends in AWS to quickly validate new marketing solutions for top brands.
Build and optimize Databricks-based data pipelines on Azure, AWS or GCP, translating client needs into scalable lakehouse architectures while staying current with the latest Databricks features.
Lead the design and scaling of a modern data platform, building self-service tools and enabling AI initiatives in a cloud environment using Databricks, Spark, and infrastructure-as-code.
Lead a team of data engineers building industrial AI solutions, balancing hands-on delivery with team development and coaching.
Designs, builds, and optimizes reliable data pipelines and solutions to support energy infrastructure maintenance and digitalization efforts.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Python, Spark, and Azure for clients in AI and devtools sectors.
Builds and manages test-data tooling (DATPROF Privacy) to anonymize and provision non-production datasets for government product teams, ensuring GDPR compliance and reusable templates.
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.
Data Engineer responsible for migrating legacy workforce data from MPS to WorkforcePlus, scripting and transforming data for 15,000+ ground staff in a fast-paced aviation program.
Build and maintain cloud-based data pipelines and infrastructure using tools like Databricks, Spark, Airflow, and Terraform to enable AI-driven analytics and solutions for enterprise clients.
Designs, builds, and maintains scalable data pipelines and platforms for energy-transition use cases, integrating IoT, cloud, and enterprise data sources.
Design and build scalable data pipelines and warehouses to track energy-grid performance, using Snowflake, Python, and Tableau to support the Dutch energy transition.
Part-time role transforming logistics and warehouse data into insights to optimize operations and support decision-making across warehouse locations.
Builds and optimizes data pipelines for clients using Databricks, Spark, and cloud tools to prepare clean, structured data for analytics and operations.
Build and deploy cloud-native data pipelines, ML infrastructure, and DevOps tooling for consulting projects using Python, Docker, Kubernetes, and GCP/AWS/Azure.
You design and build data pipelines, model business data, and advise clients on becoming data-driven using Azure, SQL, and Python.
Design and build scalable data pipelines on AWS/Azure/GCP, turning high-volume datasets into reliable foundations for analytics and AI solutions while collaborating with cross-functional teams.
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