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Lead the design and implementation of scalable data platforms and AI workflows, building pipelines and APIs for analytics and governance in a fast-growing product team.
Lead a team building scalable data pipelines and streaming systems using Spark and Kafka, setting architecture standards and mentoring engineers.
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Lead a data engineering team to build and optimize pipelines using Databricks and Azure Data Lake, ensuring alignment with product goals and cross-team collaboration.
Lead a team building and optimizing data pipelines for AXA’s global insurance operations using Databricks, Azure Data Lake, and PySpark to deliver scalable analytics and reporting.
Lead a team of data engineers to design and implement high-impact data architectures and solutions for enterprise clients using modern cloud platforms and AI tools.
Lead a team building and maintaining scalable data pipelines and cloud infrastructure to power Moniepoint’s fintech platform, using Python, SQL, and cloud platforms.
Lead and evangelize data engineering standards across NN Group’s global teams, driving best practices, community engagement, and internal learning programs using modern lakehouse platforms like Databricks.
Lead the design and long-term ownership of multi-tenant data platforms using Python and SQL, focusing on scalable architectures and standardization across teams.
Leads real-time data pipeline engineering using Kafka and GCP to build low-latency systems for MoonPay’s fintech platform.
Design and build Azure-based data ingestion and transformation pipelines, ensuring performance, reliability, and quality for Omya’s data platform.
Lead the design and evolution of a cloud data platform using Snowflake, dbt, and Power BI for a logistics client, setting standards, optimizing performance, and mentoring the team.
Lead the architecture and delivery of data pipelines using Snowflake and dbt, set engineering standards, and partner with Power BI to deliver logistics analytics.
Lead a small team of data engineers to build and maintain robust data pipelines on Google Cloud BigQuery using SQL and Python, while mentoring and reviewing dbt models.
Lead a team to design, build, and maintain scalable data pipelines using Python, SQL, and cloud platforms to support data-driven decisions across product, marketing, and finance.
Lead the design and build of scalable data pipelines for AI products using dbt, BigQuery, and Airflow, while mentoring engineers on modern data-stack best practices.
Leads Databricks/Snowflake/dbt training and consulting, designs data pipelines, and mentors junior engineers while supporting business development with client proposals.
Design and scale cloud-based data pipelines and analytics infrastructure from scratch, ensuring reliability and cost efficiency while collaborating with cross-functional teams.
Lead a team to design and build scalable, AI-native data platforms for clients using Microsoft Fabric and modern data tools.
Lead the design and scaling of EDUCA EDTECH’s corporate data platform on GCP/BigQuery, building robust, production-grade data pipelines and architectures.
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