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Senior Data Engineer BI at NS focusing on optimizing railway node processes. You will build BI solutions and data pipelines in Microsoft Azure, using Data Vault and Power BI to support data-driven operational decisions.
A Data Engineer with a few years of experience to build and maintain the client's Azure data environment: connecting data sources, building data infrastructure and pipelines with Python and SQL, plus data warehouses/datamarts and dashboards. Office in Den Bosch with hybrid working.
Build large-scale data pipelines and data infrastructure for aviation-focused analytics, working day to day with Scala, Spark, and Kafka on cloud platforms. You'll collaborate with data scientists, product owners, and business analysts on predictive maintenance, disruption management, and operational efficiency initiatives.
Data Engineer in Incentro's 40-person Data Solutions team, building data platforms, ETL pipelines and ML solutions for clients in energy, logistics and catering (e.g. Alliander, Simon Loos, Hutten). Core stack: Python, SQL, Snowflake, dbt and Kubernetes. Hybrid role based in Utrecht Papendorp.
Data Engineer building end-to-end data pipelines and cloud solutions using Python, R, and SQL within a multidisciplinary consultancy team.
Junior Data Engineer at an Eindhoven-based organization that makes data available in real time at scale. You build datasets, data models and ETL pipelines in a cloud platform within a data team of analysts and data scientists, working with SQL, data modeling and data warehousing, with a training budget to grow toward medior/senior.
Senior Data Engineer BI at Dutch railway operator NS, working in a Scrum team to optimize junction/station operations by building BI solutions in Microsoft Azure: unlocking data sources, building data vault-to-datamart pipelines and DWH, and supporting Power BI dashboards. Core stack: Snowflake, Python, SQL, Git, Power BI.
Senior Data Engineer BI (secondment via All About Work, seemingly for NS) building data pipelines, Data Vault models, datamarts and Power BI dashboards in a Microsoft Azure cloud environment within a multidisciplinary Scrum team. Requires 7+ years of data engineering experience with Snowflake, Python, SQL and fluent Dutch.
Builds BI information products (dashboards, reports, integrated data sources) in the Microsoft Azure cloud for Nederlandse Spoorwegen's Datateam Knoop, turning operational rail data into insights that improve node/station processes. Core stack: Snowflake, Python, SQL, Git; engaged via staffing firm Bright-Professionals.
Senior Data Engineer in the NS (Dutch Railways) 'Knoop' Scrum team: unlocking data sources, building pipelines from raw and business data vault to datamarts, ensuring code and data quality, and supporting Power BI dashboards in a Microsoft Cloud environment to improve railway junction operations.
Senior Data Engineer on Albert Heijn's Retail Business Platform team, designing, building, and optimizing scalable data pipelines and data marts on Azure and Databricks while mentoring engineers. Day-to-day work spans data quality frameworks, CI/CD, performance tuning, and real-time/batch processing for food retail.
Build and modernize a commercial data warehouse on Azure and Databricks to support data-driven marketing and wealth management. You will develop data pipelines, design scalable data models, and bridge the gap between commercial stakeholders and technical teams.
Cloud Data Engineer focused on building and maintaining data foundations on Azure. Responsibilities include designing data solutions, integrating sources, and ensuring data reliability within an agile DevOps environment for various client projects.
Enfint is hiring a freelance Databricks data engineer in Amsterdam for a six-month contract to design scalable Spark pipelines and Delta Lake workloads in a Lakehouse architecture, migrating and optimizing large-scale data workloads. Core stack: PySpark, Python, SQL, and cloud platforms (Azure/AWS/GCP).
Freelance data engineer (initial 6-month contract, Netherlands) who designs and builds scalable data pipelines in Databricks using PySpark, Python and SQL, migrates existing workloads to a Delta Lake/Lakehouse platform, and optimises Spark performance as part of a major data platform transformation.
Data engineer embedded with Team GreenWave at Schiphol airport, building Python backend services, REST APIs, and data-intensive pipelines that support operational decision-making. Manages applications on Azure and Kubernetes/OpenShift while contributing to CI/CD, monitoring, and quality; on-site at Schiphol on Tuesdays.
Consulting data engineer (Deloitte) designing, building, and optimizing Databricks pipelines: ETL/ELT with PySpark, Spark SQL, and Scala, Delta Lake medallion architecture, cluster cost/performance tuning, CI/CD automation, and migration of legacy pipelines while driving Lakehouse adoption across clients. Requires 4+ years of data engineering experience.
A consulting data engineer at Sia Partners works on client projects and internal AI solutions, building cloud architectures on GCP/AWS/Azure, containerizing apps with Docker and Kubernetes, writing Python services and ETL pipelines, and managing CI/CD and ML infrastructure.
Data Engineer at a large, established Dutch infrastructure organization: you unlock data from multiple sources, build and improve data pipelines, and help migrate the data platform from Azure Data Factory and TimeXtender to Microsoft Fabric over ~1.5 years, feeding a data lake used for AI agents while working with data scientists and GIS specialists.
DevOps Data Platform Engineer (hired via GreenPepper) building and expanding a secure data platform for the Dutch Ministry of Defence, centered on ETL PowerCenter tooling. Day to day: implement automation, promote agile practices in a multidisciplinary team, and manage CI/CD and release processes; hybrid with 3 days at home.
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