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First data platform hire at a trading firm, building a real-time event-streaming platform (Kafka/Redpanda) with CDC pipelines to replace ad-hoc data flows, using Terraform, ArgoCD, and Kubernetes for infrastructure.
Designs and maintains scalable data pipelines and BI solutions using Microsoft Fabric, Synapse, and Power BI to enable data-driven decisions across business units like Supply Chain, Finance, and HR.
Transforms raw utility data (electricity, gas, water, etc.) into actionable insights for real estate emissions tracking, designing BigQuery models in Dataform to support ESG/CSRD compliance. Focuses on data quality, semantic consistency, and cross-team collaboration to ensure accurate, auditable energy metrics for clients.
This is the company the company provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At the…
Medior Data & AI Engineer designing data pipelines, training AI models, and building cloud-agnostic solutions across AWS, GCP (BigQuery), and Azure for client-facing AI products in the Netherlands.
Data Pipeline Architect designing, building, and maintaining data pipelines and warehouses for a European agency, optimizing cost and performance with scalable, durable solutions.
Data Engineer building Python/SQL pipelines and services in GCP, bridging business questions to data solutions while maintaining data quality and delivering visualizations via Looker, PowerBI, or Tableau.
Senior Data Engineer owning the EV charging data domain at SOURCE.ME, building ETL/ELT pipelines, designing data models, and integrating large datasets for invoicing, fraud detection, and reporting using Azure, Power BI, and .NET APIs.
Senior Data Engineer designs and builds robust data infrastructure and pipelines for Enexis’s energy-grid and transition projects, coaches junior team members, and ensures technical quality and alignment with business goals.
Data Engineer designing and optimizing data pipelines in Azure Databricks environments using Python, SQL, and IaC/CI-CD for managed-services clients.
Lead the interim development and maintenance of a central data platform for a Dutch municipality, ensuring scalable data pipelines and governance for government services.
A Data Engineering Lead & Evangelist role combining hands-on technical work with community building, shaping data engineering practices, promoting learning, and driving standards across teams. Core technology mentioned is Databricks.
Senior Data Engineer in a Data Science DevOps team at energy grid operator Enexis, building data infrastructure, pipelines, and CI/CD solutions to optimize the electricity network. Core tech: Python, SQL, Docker, Git, AWS, Airflow, MLflow.
Builds and maintains an Azure-based data warehouse using Data Vault principles, develops ETL pipelines, and ensures performance and reliability for a safety-critical organization.
Lead the data engineering and integration strategy for a modern Marketing Technology (CDP) platform at a banking client, collaborating with stakeholders, analysts, and architects to deliver scalable data solutions using cloud platforms (GCP preferred) and event-driven architectures.
Data Engineer designing data architectures for mobility clients, optimizing energy data, and building real-time analytics for financial services partners using Python, SQL, and Databricks in fast sprint cycles.
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.
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