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Senior Data Engineer builds eigenblue's data infrastructure from scratch: scalable data platforms, warehouses, and advanced RAG pipelines powering proprietary AI reasoning models. Core stack spans cloud platforms (Azure/AWS/GCP), PySpark/Kafka, Redshift/Snowflake, SQL/no-SQL, plus LLM/RAG tooling like GraphRAG and agents.
Data Engineer on Publicis Global Delivery's Data Operations team in Bogotá, managing end-to-end data workflow automation, ETL pipelines, and the BigQuery data lake on GCP for advertising/marketing data. Core stack: Python, SQL, BigQuery, GCP, plus ad-platform tools like Campaign Manager (CM360).
Medior engineer responsible for building and hardening EV charging station location data, migrating core backend services from PHP to Go, and managing infrastructure using Go, Laravel, Google Cloud, and Kubernetes.
You will own and scale Built Different's Azure data platform in Utrecht, designing lakehouse architecture, governance, and scalable pipelines with Databricks, Event Hubs, and Synapse to turn real-time IoT hardware telemetry into analytics for sales, support, and ops, while mentoring the team and laying AI-ready foundations. Dutch fluency is expected.
Data Platform Engineer building distributed compute and storage, streaming infrastructure, data quality tools, OLAP engines, and observability for Sprint and Partners' global fintech data platform, using Python and the Hadoop ecosystem.
Builds scalable serverless solutions and data pipelines on Google Cloud for a Premier Google Cloud Partner, applying strong software engineering practices such as CI/CD, data security and agile methods. Requires hands-on Java/Python, SQL and GCP experience; office-based in Rotterdam.
Medior/senior data engineer at Furore Conclusion in the Netherlands, building a reliable data platform and innovative information products for healthcare together with care professionals and stakeholders. Requires 3+ years of data engineering experience, an HBO/WO degree, and strong data modeling and integration skills; pays €4500–€6500 plus benefits like a home-office allowance and training.
Junior Data Platform Engineer at Dutch supermarket chain Jumbo in Veghel: you help build and maintain a central data platform on Azure and Databricks, support the development of data pipelines and governance structures, and work alongside data engineers and analysts to enable data-driven decisions.
Data Engineer building a scalable data platform using Microsoft Fabric for a national business services organization. The role involves developing data infrastructure, optimizing performance, and working in an Agile team.
This role focuses on supply chain optimization through data analysis and reporting, providing strategic advice to various departments using Excel, Python, and Power BI.
Senior ML & Data Engineer building AI/ML solutions for the banking and insurance sector in Amsterdam: building and optimizing ML pipelines, deploying LLM-driven solutions, and designing ETL workflows on Azure Databricks. Core stack is Python, SQL, PySpark and LLMOps in a hybrid arrangement.
As a Data Platform Engineer at RTL Nederland, you will build scalable cloud data infrastructure, optimize Databricks environments, and enhance Data Lake architecture. The role requires 2-3 years of software development experience, proficiency in Python, and expertise in Kubernetes and major cloud platforms like Azure, AWS, or GCP.
Daiwa House Modular Europe in Montfoort is hiring a BI, Data & AI Engineer to lead its Azure data platform: designing and building a Data Lake, creating Power BI dashboards, and ensuring data quality and governance. Offers €4,500–5,500/month, 25 vacation days, and development opportunities.
Xccelerated (part of Xebia), a tech accelerator in Amsterdam, is hiring data/cloud engineers to build a scalable Data Platform on Google Cloud. Day to day you design and build data pipelines; the role requires 3-4 years of data engineering experience and hands-on GCP and other cloud platform skills.
At Jumbo's Tech Campus (Store Sales & Finance), you design and build end-to-end data pipelines and data products on the Azure data platform that power analytics, reporting, and advanced analytics. You work closely with data engineers, analysts, and business stakeholders, applying automation, monitoring, and CI/CD per DevOps principles.
Develops geospatial data pipelines and APIs to deliver Earth Observation insights, working with vector geodata and scalable cloud infrastructure in a hybrid environment.
Design and maintain scalable cloud-based data pipelines and platforms using Data Vault models to support analytics, reporting, and AI-driven use cases for a global heavy-lifting and transport leader.
Medior data engineer who designs, builds and maintains cloud data pipelines and data solutions for a consultancy's diverse clients, working with data analysts to resolve technical issues and improve data quality. Core stack is Python, SQL and ETL on Azure, with AWS or Google Cloud preferred; hybrid with work-from-home options.
A mid-level data engineer in Breda (Netherlands, hybrid with work-from-home options) who creates, manages, and analyzes data streams, builds integrations between applications, maintains central databases, and develops dashboards and reports with a focus on secure, correct, and efficient data handling.
Senior Data Engineer based in Zwolle responsible for owning the lakehouse platform, building ETL/ELT pipelines with Python and SQL, and collaborating with AI and marketing teams to support international growth.
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