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Data Platform Engineer
Build and maintain the internal data platform that ingests, transforms, and delivers marketing data for 200k+ organizations using Python, Kubernetes, Airflow, and AI-assisted tooling.
XI | Data Engineer | Den Haag | IT consultancy | 110k
Designs and maintains scalable data pipelines and cloud-based data infrastructure (Azure, AWS, Snowflake) to transform raw data into actionable insights for analytics and AI use cases.
Senior Data Engineer: Snowflake + dbt for Finance Close
Own the full data pipeline in Snowflake and dbt, building architecture and models for financial close processes like Billing, ARR, and Revenue Recognition.
DN | Data Engineer | Nieuwegein | Consultancy | 90k
Build and maintain scalable data pipelines and cloud-based data infrastructure for clients, transforming raw data into insights using Azure, AWS, Snowflake, and Python.
Marketing Analytics Engineer: Build Scalable Data Pipelines
Build and maintain scalable marketing data pipelines using dbt, BigQuery, and Looker to deliver clean, high-integrity datasets for analytics and decision-making.
Senior Data Engineer - DWH & Platform Lead
Senior Data Engineer designs, maintains, and improves the data warehouse and platform, ensuring reliable data flows and integrations using SQL, Python, dbt, and Power BI.
Lead data engineer | Werken voor Nederland
Lead a team migrating a legacy data platform to Databricks, design scalable data products, and coach peers while shaping the organization’s modern data architecture.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure/Databricks data and ML pipelines for finance and public-sector clients, using PySpark, MLflow, dbt and CI/CD.
Data Engineer (Snowflake & Dbt) – Data Science & AI Producten
Build and scale managed data products on Snowflake using dbt, integrating internal and external sources to create reliable, AI-ready data foundations for data scientists.
Platform Data Engineer — Build a Universal Data Lake
Build and expand a scalable data lake, enabling real-time processing with Azure Databricks, Delta Live Tables, and Python to deliver reliable insights for marketing, BI, and finance teams.
Cloud Data Engineer for AI-Driven Marketing
Build and maintain cloud data pipelines and warehouses for marketing analytics using AWS/GCP, Python, SQL, and dbt/Dataform.
Senior Analytics Engineer - DBT, SQL & Cloud Data Pipelines
Senior Analytics Engineer builds dbt models and cloud data pipelines to turn banking data into insights for Finance, Retail, and Risk teams.
Data Engineer (m/f/d)
Design and build scalable data platforms and ETL/ELT pipelines using cloud tools like Azure/AWS, Python, SQL, and Kafka to ensure reliable, high-quality data solutions.
Azure Data Engineer — Cloud Data Solutions & AI
Builds scalable cloud data pipelines and AI-ready datasets using Python, PySpark, dbt and SQL for healthcare, government and finance clients.
Data Engineer: Cloud Data Platforms & Diverse Projects
Builds and optimizes cloud-based data platforms and pipelines for enterprise clients using AWS, Azure, or GCP, integrating data sources and collaborating with analysts and developers.
Senior Data Engineer - Build Modern Data Warehouses
Senior Data Engineer builds and maintains modern data warehouses, integrating sources with ETL/ELT tools like Data Factory, dbt, and Airflow to enable BI and analytics.
Azure Data Engineer — AI-Ready Data Platforms
Builds scalable Azure data pipelines and AI-ready platforms using Databricks, Fabric, Synapse, and PySpark to turn raw healthcare data into insights.
Senior Analytics Engineer: DBT & Data Pipelines
Builds and optimizes dbt-based data pipelines and analytics in Python for finance, retail, and risk teams on a cloud data platform.
Google Cloud Analytics Engineer: Data Pipelines & Modeling
Designs and builds Google Cloud data pipelines and models using dbt, Python, SQL, and BigQuery to transform raw data into clean, documented datasets for business stakeholders.
Senior Data Engineer (Dutch speaking)
Lead a team to build and maintain cloud data platforms on AWS/Azure/GCP using Python, SQL, and CI/CD, ensuring scalable, secure data infrastructure aligned with business needs.