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Design and build scalable data pipelines and frameworks to ingest, process, and serve clean data for analytics and decision-making using Python, Spark, Airflow, and cloud platforms.
Build and maintain Payway’s data platform, including AWS-based Data Lake, Spark pipelines, and Airflow orchestration, while ensuring observability and performance.
Design and lead the architecture of a data lakehouse on AWS, building scalable pipelines with Spark, Python, and Airflow for ingestion, transformation, and orchestration.
Designs and builds ETL/ELT pipelines, REST APIs, and web apps using Google Cloud, BigQuery, Airflow, Python, .NET, and React.
Builds and maintains data pipelines, REST APIs, and web apps using GCP, BigQuery, .NET, Python, and React, with ETL/ELT and Cloud Composer workflows.
Builds and maintains scalable data pipelines on Google Cloud Platform using BigQuery and Airflow, integrating diverse data sources, implementing CI/CD, and collaborating with analytics/product teams to ensure high-quality data solutions.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Designs and maintains scalable GCP data pipelines, focusing on BigQuery modeling and Airflow/Cloud Composer orchestration with CI/CD and IaC.
Build and optimize data pipelines for a UK automotive marketing platform, migrating legacy systems to modern cloud warehouses (Redshift/Snowflake) using dbt, Python, and Airflow.
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.
Build and maintain cloud cost visibility pipelines and datasets using SQL, Python, AWS/GCP, and Snowflake to power cost-aware decisions for Product, Engineering, and Finance teams.
Leads data-architecture projects for banks and insurers, building cloud-native data platforms, pipelines, and governance while managing teams and advising clients on data modernization and MLOps.
Senior Data Engineer builds and maintains ETL pipelines using Airflow, dbt, and Snowflake to power BI tools and ensure reliable data flow for global teams.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Build and validate ML models for time-series forecasting and analytics, collaborating with engineers to ship production-ready AI solutions.
Lead a team modernizing a data platform using Python, SQL, Snowflake, AWS, Terraform, and Airflow across European hubs.
Builds and optimizes scalable data pipelines for a European customer loyalty app (130M users), handling massive customer/transaction data to enable segmentation, personalized campaigns, and AI-driven marketing analytics. Core tech: Python, SQL, Databricks, Airflow, Spark, Kafka, Kubernetes, and relational/non-relational databases.
En NTT DATA creemos que cuando las personas crecen, el impacto es imparable. Por eso, trabajamos cada día para crear un entorno donde puedas ser tú, pensar en grande y construir el futuro con propósito. Nuestra misión…
Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
¿Quiénes somos?: Neotalent Conclusion es una de las mayores especialistas del mercado ibérico en captación y gestión de talento informático y de ingeniería. Como parte del grupo neerlandés Conclusion, que se compone…
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