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Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring clean, reliable data for decision-making.
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Build and maintain scalable data pipelines and analytics infrastructure for a growing SaaS company, using Redshift, Python, Power BI, and modern ETL frameworks to drive business decisions.
Builds and maintains data pipelines and BI infrastructure to power marketing analytics and optimize adtech campaigns.
Builds and maintains data pipelines and SQL models to track supply-chain defects and delivery performance for Amazon’s EU inbound logistics.
Lead the design and implementation of a scalable data platform (Salesforce Data 360) and data lake, integrating ERP, CRM, and BI tools while ensuring governance and compliance.
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Build and maintain scalable data pipelines on cloud platforms like GCP, AWS, and Azure using Databricks to support internal and external clients.
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
Build and maintain scalable climate data pipelines and Python software for risk products using large geospatial datasets.
Build and maintain an insurance-focused data warehouse, automate ETL pipelines, and create Power BI dashboards to track claims, conversion, and retention KPIs.
Builds and maintains batch and real-time data pipelines in Python and SQL to power a data-centric platform for digital sovereignty across Europe.
Lead a Big Data engineering team in Barcelona, coordinating delivery of platform milestones and aligning with Data Engineering objectives while liaising with stakeholders.
Build and maintain Looker dashboards and data models for enterprise clients using LookML, SQL, and BigQuery pipelines.
Build and maintain data ingestion/ETL pipelines using Python, PySpark and Spark, load into Redshift, and support BI reporting in a growing product team.
Build and maintain ETL pipelines, SQL tables, and cloud data workflows using Matillion and Snowflake to feed analytics and reporting for an industrial multinational in Madrid.
Build and maintain real-time data pipelines for trading and research, focusing on ingestion, normalization, and self-service tooling for market and portfolio data.
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
Data Engineer builds and maintains data pipelines and microservices on OpenShift, using SQL to process and integrate data for global projects.
Build real-time data pipelines and AI solutions for clients using Python and distributed systems while collaborating with cross-functional teams.
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