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Build and maintain scalable data pipelines on AWS, using Glue, Lambda, S3, Redshift, EMR, and PySpark to support analytics and data warehousing.
Build and maintain data pipelines in Java/Python, optimize SQL queries, and create BI dashboards for a SaaS analytics platform on AWS.
Lead the design and scaling of data pipelines and warehouses for healthcare analytics, mentoring engineers and ensuring reliable, privacy-compliant data solutions.
Build and maintain scalable data pipelines and infrastructure that process millions of supply-chain events daily, ensuring real-time visibility for global trade operations using cloud-native tools like Kafka, Snowflake, and Kubernetes.
Build and maintain scalable data pipelines and analytics-ready datasets in Snowflake, using SQL, Python, and Data Vault to deliver clean, reliable data for business insights.
Lead the design and delivery of scalable data pipelines and warehouses for a healthcare analytics platform, mentoring engineers and collaborating with AI/ML teams.
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.
Design and maintain a Snowflake-based data platform for investment management, using dbt, Azure, IaC and Kubernetes to enable scalable, secure analytics and data-driven decisions.
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
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.
Build and maintain the data pipelines and AI infrastructure that turn employee feedback into actionable insights for HR teams worldwide.
Senior Data Analyst at Hopper builds data pipelines and analyzes lodging data to optimize revenue and strategy using SQL and visualization tools.
Design and build scalable Azure and Databricks data pipelines and warehouses, using PySpark, SQL, and CI/CD to modernize enterprise analytics and reporting.
Senior Data Engineer builds and maintains SQL Server data warehouse, ETL pipelines, and Microsoft Fabric solutions to deliver reliable, accessible data and BI insights for a 600+ employee organization.
Build and maintain a modern data platform using SQL Server, ETL, and Microsoft Fabric to deliver reliable, scalable data solutions for a 600+ employee firm.
Location: Amsterdam, Netherlands | Salary: €95,000 - €120,000 + Benefits This is an opportunity to lead and shape a modern data and analytics engineering function within a growing, data-driven organisation. You'll…
Build and maintain the data pipelines and AI infrastructure that turn employee feedback into actionable insights for HR teams worldwide, using cloud-native tools and MLOps practices.
Build and maintain scalable data pipelines and AI/ML infrastructure, integrating diverse sources and deploying models using cloud-native tools like Azure.
Design and implement ETL pipelines and data warehouses for diverse clients, using tools like Qlik or Talend and databases such as Snowflake or PostgreSQL.
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