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Data Analyst & Visualization Specialist
Designs scalable reporting models and dashboards using BigQuery, Looker Studio, and AI to automate workflows, deliver insights, and support board-level decision-making for a client.

Senior Data Scientist
Senior Data Scientist at Instacart designs experiments, builds statistical models, and creates dashboards to optimize a grocery delivery marketplace using Python/R, SQL, and causal inference.
AI Engineer
Builds AI-driven workflows for insurance claims, focusing on agentic systems, durable execution, and measurable model improvements in a regulated environment. Core work includes designing agentic workflows, ensuring system reliability, and optimizing LLM behavior with rigorous testing and observability.
Senior Data AI Engineer - Scalable AI Pipelines & MLOps
Designs and builds scalable data pipelines and AI/ML architectures in Amsterdam, ensuring clean, analytics-ready data for model training and deployment in a cloud environment.
Remote BI & Data Engineer — Backend & Dashboards
Builds backend data pipelines and BI dashboards in Java/Python for customer insights, ensuring data quality and warehousing in an AWS environment.
Senior Data Engineer (Azure & Databricks)
Designs and optimizes data pipelines using Azure and Databricks to deliver business insights in a hybrid work setup.
AI Infrastructure Engineer — Build Global Data Pipelines
Designs AI infrastructure and data pipelines from scratch to enable data-driven decisions, focusing on Python and Azure technologies.
Data Engineering Lead / Evangelist
Lead and grow a global community of 350+ data engineers, setting standards and best practices while evangelizing modern data engineering tools and techniques.
Data Engineer (AI Ready)
Designs and maintains scalable data pipelines in Snowflake/AWS Airflow, builds dbt-based transformations, and supports AI/analytics initiatives by integrating diverse data sources into trusted datasets for business use.
Public Sector Data Engineer: AI & Cloud Pipelines
Builds and maintains cloud-based data pipelines for public sector projects, ensuring scalability, security, and compliance while collaborating with clients to deliver governance-friendly solutions.
Consultant | Data Engineer | Public Sector
Build and maintain scalable data pipelines for public-sector clients, turning high-volume datasets into reliable, production-ready foundations for AI and analytics using cloud platforms like AWS, Azure, or Google Cloud.
Azure Data Engineer (ID:3995)
Builds and maintains cloud-based data pipelines using Databricks, PySpark, Azure Data Factory, and Python, focusing on scalability, governance, and data quality for enterprise solutions.
Senior Data Engineer
Senior Data Engineer builds scalable data platforms and pipelines using Python, PySpark and SQL to enable analytics and AI at VodafoneZiggo.
Senior Data Engineer
Builds and maintains ETL pipelines for energy data using Python, SQL, Snowflake, and dbt to ensure efficient processing and data quality in an agile team.
Senior Data Engineering Leader – Azure & Pipelines
Leads data and analytics initiatives, shaping technical roadmaps and building scalable end-to-end data pipelines using Azure, Python, Spark, and RESTful APIs to support client engagements and analytics products.
Azure Data Engineer
Builds and maintains cloud-based data pipelines using Databricks, PySpark, Azure Data Factory, and Python to ensure scalable, high-quality data processing and governance in enterprise environments.
Data Engineer
Designs and builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, and modern tools like Databricks and Snowflake to turn raw data into actionable insights for clients and internal products.
Senior Data Engineer: Build Scalable Data Pipelines (Hybrid)
Senior Data Engineer builds scalable data pipelines using Python, PySpark, and SQL to power AI applications and lakehouse architecture at VodafoneZiggo.
Senior Data Engineer - Enterprise Data Platforms and Data Management - Enterprise Data & AI
Senior Data Engineer at American Express building cloud-native lineage and metadata platforms to power AI and regulatory needs using Java, Python, Spring Boot, GCP, and event-driven architectures.