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DATA ENGINEER
Builds and maintains scalable data pipelines for BNP Paribas using Scala, Spark, Airflow, and cloud storage, ensuring data quality and security while collaborating with cross-functional teams.
Data Engineer — Scalable Pipelines, Spark & Airflow
Builds and maintains scalable data pipelines using Spark, Airflow, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Data Engineer / Big Data Engineer – Sector Bancario
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Junior Data Engineer – Mobile Apps & Cloud Data Pipelines
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Data Engineer
Design and maintain scalable data pipelines and models using SQL, Snowflake, and AWS, ensuring clean, performant data for analytics and reporting.
Data Engineer
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Data Engineer
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Data Engineer
Build and migrate data pipelines for a bank using Spark/Scala, Airflow, and cloud storage, automating CI/CD and ensuring data quality in a hybrid Madrid role.
Data Engineer
Build and maintain the data stack for a health/beauty ecommerce company, including BigQuery pipelines, Looker Studio dashboards, and marketing attribution models to drive smarter decisions.
Data Engineer
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Data Engineer
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Data Engineer — Scalable Marketing Data & AI Pipelines
Builds scalable data pipelines and AI-driven analytics for a loyalty app with 130M users, using Databricks, Airflow, Python, SQL, and databases.
GCP Data Engineer: Cloud Pipelines & Data Governance
Designs and builds GCP-based ETL/ELT pipelines and data governance workflows using BigQuery, Dataflow, Airflow, and related tools.
Senior Data Engineer – Identity/Data Pipelines (Hybrid Spain)
Senior Data Engineer builds and maintains scalable identity/data pipelines for media clients using BigQuery, Python, Airflow, and Cloud Storage.
Full Stack Engineer (Data & Product Engineering)
Build and maintain data pipelines and dashboards for Mondelēz’s Media Data Platform, integrating adtech data to deliver AI-driven insights and scalable reporting tools for internal stakeholders.
Founding Full Stack Engineer (React / Python)
Build a distributed workflow engine and visual editor in React/Python to let scientists run simulations without touching HPC clusters; core stack includes FastAPI, PostgreSQL, and Docker.
AI Full Stack Engineer
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Senior Platform Operations Engineer (DevOps - Ops Focus)
Own and run a Kubernetes-based cloud platform, troubleshoot container failures, and ensure stability for data engineers and analysts using Docker, Helm, and Prometheus/Grafana.
Senior Platform Operations Engineer (DevOps - Ops Focus)
Senior engineer maintains and troubleshoots a Kubernetes-based cloud Big Data platform, diagnosing container failures and performance issues while ensuring uptime for internal users.
DevOps Application Engineer: CI/CD & Automation
Build and maintain CI/CD pipelines and automation for financial-market infrastructure using GitLab, Ansible, ArgoCD, Airflow, and Python.