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Build and optimize high-volume data pipelines into Google BigQuery using Python and Airflow, ensuring clean, query-optimized data models for government and commercial clients.
Designs and builds scalable data pipelines and warehouses in GCP/BigQuery to turn raw retail data into clean, analysis-ready assets for BI and AI agents.
Build and maintain data pipelines, ETL/ELT processes, and integrations for payment services, supporting reporting, AI initiatives, and a corporate IT transition in a fintech environment.
Senior Data Engineer builds and scales Python-based data pipelines (Pandas, PySpark, dbt, Airflow) on Snowflake/BigQuery, ensuring reliability and performance for analytics and AI workloads.
Designs cloud-based data platforms and AI solutions, advising clients on architecture while splitting time between hands-on delivery and presales. Core tech includes Databricks, Snowflake, and cloud providers.
Build and optimize modern data platforms for Dutch enterprises, designing pipelines, integrating sources, and enabling analytics and AI with cloud tools like Azure, Databricks, and Snowflake.
Design and build scalable GCP data pipelines using BigQuery, Python, SQL, DBT, and Airflow to deliver trusted, analytics-ready datasets for Mattel’s enterprise analytics.
Builds and maintains a high-performance data processing pipeline for massive datasets, combining data engineering with backend development to handle heavy loads, APIs, and integrations with external data sources.
Leads cloud and AI platform engineering projects, mentors teams, and advises clients on AI-native infrastructure, cost governance, and agentic workflows using tools like Terraform, Kubernetes, and AWS Bedrock.
Designs and implements data architectures and platforms to organize complex data structures, integrating structured/unstructured data and cloud technologies for data-driven decision-making.
Builds and maintains BigData ETL/ELT pipelines in Python/Java, moving data from APIs, logs and databases into DWH and Data Lake using Spark, Airflow and Hadoop tooling.
Leads an offshore team to build, optimize, and maintain scalable data pipelines using Google Cloud, dbt, and Informatica IICS for analytics and reporting.
Build and maintain scalable data pipelines and lakehouse architecture on Databricks and AWS to power fintech products used by millions across Southeast Asia.
RWE Americas, LLC To start as soon as possible, full time, permanent Functional area: Corporate Development / Strategy Remuneration: Exempt The AI Transformation team , part of the broader Strategy department, leads…
Чем предстоит заниматься: Реализация сложной бизнес-логики на уровне БД Участвовать в создании и поддержке архитектуры баз данных; Построение и поддержание инфраструктуры, необходимой для оптимального извлечения,…
Build and maintain ETL/ELT pipelines and data marts for regulatory and management reporting in a national bank using SQL, Python, and DWH best practices.
Lead a team building and optimizing scalable data pipelines using Oracle OIC, GCP, and Python to integrate ERP systems and deliver analytics-ready datasets for Mattel’s global operations.
Lead the data platform and connector ecosystem for a developer intelligence tool, defining product vision and ensuring reliable, secure data integration across enterprise tools.
Build and maintain data pipelines and models to transform raw SaaS product telemetry into research-ready datasets that power AI-driven developer-experience reports and industry benchmarks.
Builds and maintains data pipelines, models, and analytics infrastructure to drive product insights and business strategy at a global SaaS company, using Python, SQL, and ETL/ELT tools.
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