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Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Senior ML Engineer/Data Scientist building scalable fraud-detection, risk, and customer-analytics models in finance using Python, Spark, and cloud platforms.
Data and AI Engineer (Amsterdam)
Build and maintain production-grade data pipelines and AI solutions for enterprise clients, using cloud platforms, orchestration tools, and modern data stacks like Snowflake, Databricks, and dbt.
Senior Data Platform Engineer - Python, AWS, Airflow
Build and maintain the data platform for a quantitative investment firm, creating Python applications and Airflow pipelines on AWS to process and distribute market data for research and backtesting.
Software Engineer - Data Integration
Build and operate scalable data pipelines and API-first services that ingest, process, and distribute media intelligence data for brands and partners using Python, Spark, Kafka, and cloud-native tooling.
Founding Software Engineer, Data Infrastructure
Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
IoT Software Engineer (Data & Reliability)
Build and maintain the software that keeps Greener’s smart battery fleet running reliably in the field, using Python, IoT telemetry, and data analysis to spot risks and drive improvements.
Director, Data Analyst/BI Engineer
Lead the data and measurement ecosystem for a marketing agency, designing BI/warehouse architecture, Looker dashboards, and marketing tech integrations while ensuring privacy-compliant tracking and client-facing technical leadership.
Cloud-Native Data Platform Engineer - Kubernetes
Designs and builds scalable, cloud-native data infrastructure on Kubernetes, deploys data applications, and maintains complex data architectures using Docker, Airflow, and cloud platforms.
Data Platform Engineer for Quant Research & Backtesting
Build and maintain a data platform for quant research and backtesting using Python, Airflow, and AWS to process market and reference data.
Software Engineer - Data Integration
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Software Engineer – Data Integration
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Competence Lead Data & Platform Engineering | Bright Cape
Leads Azure data-platform architecture and design for clients, translating business needs into scalable, secure solutions using Azure services like Fabric, Databricks and Purview.
Staff Data Platform Engineer — Remote, AI‑First
Build and scale a low-latency data platform for cross-border payments using StarRocks, Flink, dbt, and Airflow while leading architecture and mentoring engineers.
Data platform engineer
Build and maintain a modern data platform on GCP, designing scalable pipelines with Databricks, Spark, and Airflow to power analytics and ML for enterprise teams.
Data Platform Engineer
Designs and builds scalable data platforms using Snowflake, Databricks, Kafka, and Airflow on Azure/AWS/GCP, focusing on data lakehouses, real-time streaming, and automated pipelines.
Staff Data Platform Engineer
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
Lead Data & Platform Engineering
Lead hands-on technical role designing scalable Azure data platforms, setting standards, and mentoring engineers for a consultancy serving finance and logistics clients.
Data Engineering Xccelerator: Bootcamp + Real-World Projects
Build and deploy scalable data pipelines, warehouses, and ML systems using Python, Spark, Kafka, and cloud tools, while learning on real client projects.
Data Engineer: Maatschappelijke Impact met Python & SQL
Builds ETL pipelines and a modern data platform in Python, SQL, and PostgreSQL to enable analyses and dashboards that support regulatory oversight and societal impact.
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.