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IT Functional Analyst
Analyzes and improves business processes using the IFS ERP system, bridging gaps between stakeholders and technology to deliver efficient solutions and user training.
Data & Automation Analyst - Internal Audit
Overview: The Data & Automation Analyst (Advanced Specialist, Data Analytics) is responsible to develop and support the Internal Audit Data and testing requirements through AI-driven solutions, advanced analytics, and…
Data Manager - Engineering
Desde Grupo Aspasia buscamos un/a Data Engineering Manager para liderar la creación y evolución de nuestra plataforma de datos. Es una oportunidad para diseñar la arquitectura, construir un equipo y convertir los datos…
Data Engineering Manager
Lead the design and build of a modern data platform from scratch, hiring and mentoring a team to integrate sources like Salesforce and Moodle, model analytics in Snowflake/dbt, and deliver trusted metrics for business decisions.
Data Engineering Manager
Lead the design and build of a modern data platform from scratch, integrating Salesforce, Moodle, and ERP, using Snowflake, dbt, and BI tools to drive marketing, sales, and finance decisions.
Data Engineering Manager (Remote)
Lead the design and build of a modern data platform (Snowflake, dbt, ELT) to turn marketing, sales, academic and finance data into business insights and drive decision-making.
Data Engineering Manager (Permanent)
Lead the design and build of a modern data platform (Snowflake, dbt, ELT) to turn marketing, sales, academic and finance data into business insights, while hiring and coaching a data-engineering team.
Software Engineer, Data Science Engineering
Build and maintain data pipelines, ETL processes, and Power BI dashboards for a healthcare-focused insurtech platform, while collaborating on product evolution and automation.
DATA ENGINEERING
Build and maintain scalable data pipelines, cloud data warehouses, and ETL/ELT workflows on AWS and Snowflake to feed analytics and reporting for a Spanish utility company.
Senior Engineer, Data Engineering
Builds observability pipelines and dashboards using Datadog, OpenTelemetry, and AWS to deliver reliable operational data for engineering and business teams.
Software engineer – data engineering
Build and maintain ETL pipelines, data warehouses, and Power BI dashboards for a healthcare group, while collaborating on web-app evolution and process automation.
Tech Lead Data Engineer | Snowflake, dbt y Power BI - madrid
Lead the design and evolution of a cloud data platform using Snowflake, dbt, and Power BI to support reporting and analytics for a logistics client.
Middle Azure Data Engineer - Barcelona
Designs and builds scalable data pipelines in Azure and Microsoft Fabric, from ingestion to insights, using PySpark, Azure Data Factory, Synapse, and Power BI.
Data Engineer - SQL& Python
Build and maintain data pipelines, ETL/ELT processes, and SQL models in Amazon Redshift using Python, PySpark, and AWS services.
Data Engineer - Python, SQL
Build and maintain data pipelines, ETL/ELT processes, and SQL models in AWS Redshift and S3 using Python, PySpark, and Talend.
Data Engineer (Tech, Python)
Build and maintain data pipelines, ETL/ELT processes, and SQL models in AWS Redshift using Python, PySpark, and Talend.
Data Engineer (AWS, SQL)
Build and maintain data pipelines, ETL/ELT processes, and SQL models in AWS Redshift and S3 using Python, PySpark, and Talend.
Data Engineer - Lognext
Builds and maintains data pipelines, ETL processes, and analytical solutions using SQL, Python, and PySpark to transform raw operational data into business insights for an insurance multinational. Bridges technical and business teams to deliver dashboards, APIs, and ML-driven reporting in Power BI.
Lead Data Engineer
Lead a data engineering team to build and scale a modern data platform (Azure, Salesforce Data 360) for a large sports organization, integrating ERP, CRM, and BI tools while ensuring data quality, governance, and compliance.
DevOps & Cloud Engineer
Senior DevOps/Cloud Engineer designs and automates AWS cloud infrastructure, CI/CD pipelines, and observability stacks using Terraform, Kubernetes, and Datadog to improve reliability and performance.