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Principal-level data engineer leading Qantas' enterprise data platforms: designing scalable cloud data solutions, setting engineering standards, driving FinOps, and mentoring engineers. Core stack is Snowflake, AWS, dbt, SQL, Python, Airflow and Terraform, in a hybrid role at the Mascot campus in Sydney.
Long-term contract (to Dec 2027) Full Stack Java Developer in Adelaide, building and supporting large-scale business-critical enterprise applications on an agile team. Core stack is Java with Spring/Hibernate, React front end, and SQL databases, with Azure, CI/CD and integration tooling in the mix.
A remote contract role building and maintaining both frontend interfaces and backend systems for client-facing software projects. Day-to-day involves coding with JavaScript frameworks (React/Vue/Angular), server-side languages (Python/Node.js/Java/PHP), databases, APIs, and collaborating across the full development lifecycle.
Build and maintain ETL pipelines in Airflow, design distributed data storage systems, and automate analytics infrastructure for a leading Russian/CIS streaming platform.
Ambush is hiring a Machine Learning Engineer (remote, Porto Alegre, Brazil) to design, build, and deploy AI-enhanced applications, focusing on Python (FastAPI) backend orchestration, LLM workflows with LangChain/LangGraph/OpenAI SDK, and secure, scalable deployment of AI services on cloud platforms like GCP, AWS, or Azure.
Alice is hiring a Technical Fraud Threat Analyst in Ramat Gan to research fraud tactics, abuse vectors, and platform vulnerabilities through OSINT/WEBINT investigations, red-team style abuse simulation, and large-scale data analysis. The role involves building research tooling and automation and delivering actionable mitigation intelligence to clients.
Senior engineer in Eraneos' Dutch Data & AI consulting team who designs, builds and runs sovereign data platforms for clients from open-source components — Iceberg, Trino/Spark, Kubernetes/OpenShift — deployed on-prem, on EU cloud or hyperscalers. Daily hands-on coding plus architecture choices and client-facing technical leadership.
Data & AI Engineer role in the Netherlands: build AI-powered applications such as Genie, Mix Modelling and dashboards, and help shape a modern data warehouse. The stack is Python, Snowflake, dbt and Power BI, with flexible hours and room for professional growth.
Data & AI Engineer at Markteffect, a fast-growing Dutch market research agency, building AI tools (LLMs, prompt engineering, AI evaluation), a Snowflake/dbt data warehouse, APIs and Power BI dashboards in an internal tech team based in Eindhoven/Amsterdam. Dutch at C1 level is a hard requirement.
Medior/senior Data Engineer at a Dutch IT consultancy and training institute near Amsterdam: you build and maintain data pipelines for clients (including banks and health insurers) and mentor junior engineers on the job and via internal trainings. Core stack centers on cloud (AWS/Azure), Python/SQL and big data tooling.
Senior data engineer at Eraneos, a Dutch management & technology consultancy, building fully open-source data platforms for clients: batch ingestion with dlt, modeling with dbt/SQL into lakehouse tables (Iceberg/Delta/DuckLake), orchestration with Airflow/Dagster, and serving data via Trino/DuckDB/PostgreSQL and Superset dashboards. Client-facing role across multiple projects.
Build and manage scalable, AI-ready data platforms in the Azure cloud at ilionx in Utrecht: develop data pipelines with PySpark, SQL and Python using Databricks, Fabric and Snowflake, and deliver data solutions and dashboards for clients in sectors like healthcare, government and retail. Hybrid working.
Builds and runs the data layer behind Hanab's internal AI applications: configuring the central PostgreSQL database and Qdrant vector store, managing ETL pipelines, and turning contracts, RFQs, and work orders into clean datasets with tuned chunking/embedding strategies. Core stack: PostgreSQL, Qdrant, ETL tooling, Python.
Stafide is hiring a data engineer in the Netherlands to design, build, and maintain scalable data pipelines on Azure. Day to day: transforming data with Python, orchestrating workflows in Azure Data Factory, processing with Azure Databricks and Spark, integrating API sources, and monitoring/troubleshooting pipelines in an Agile team.
Designs, builds, and maintains scalable data pipelines on Microsoft Azure, primarily using Python, Azure Data Factory, Azure Databricks, and Apache Spark. Day to day involves ETL/ELT development, API-based data integration, pipeline monitoring and troubleshooting, and performance optimization in an Agile team environment.
At Phact (Netherlands), you'll work as a Data Engineer / BI Specialist on high-tech client projects, connecting, organizing, exposing and visualizing data from diverse systems. Day to day you build scripts, algorithms and data pipelines, manage backlog priorities, and design interactive BI dashboards and reports.
Freelance (zzp) medior data engineer for EDSN's multidisciplinary Data & Analytics team, building and maintaining data pipelines, ETL processes, dbt transformations and Kimball-style data models in a modern cloud data platform. Core stack is Python, SQL, dbt and Git/CI-CD, with Snowflake, Airflow and AWS as pluses.
Data Engineer at Just Eat Takeaway.com in Amsterdam designing scalable ETL/ELT pipelines on GCP for the Partner and Sales data team, scaling measurement datasets for ML and analytics. Day to day involves building pipelines with Airflow, dbt, SQL, and Python in a hybrid role (3 days in the Amsterdam office).
Senior data engineer on the Datateam of the Dutch Police's Programma Vernieuwend Registreren (PVR), maintaining and developing production and data-quality databases (RDF data stored relationally, Oracle/PL/SQL), building data pipelines and ETL, writing complex SQL, and monitoring data quality and query performance. Hybrid role based in Utrecht; Agile/Scrum DevOps environment.
12-month contract AI Data Engineer for a product-led fintech trading platform in the Netherlands. Day to day: build a centralised data warehouse and Python pipelines, own ML models for churn/segmentation/personalisation, and prototype LLM-powered tools using SQL, Python, dbt/AWS Glue and AWS SageMaker.
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