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Lead Data Engineer
Lead Data Engineer (first senior data hire) for an AI platform in the property sector, architecting scalable real-time and batch data pipelines, vector search, and ML data workflows using Python, PostgreSQL, and distributed systems.
Senior SAP BW / BDC Developer (Data Engineer – SAP Data & BI) (m/f/d)
Designs and maintains scalable SAP BW/4HANA and SAP Datasphere data pipelines, models, and BI solutions, integrating SAP/non-SAP data for reporting and analytics.
Data Engineer - AWS, Spark & AI
A Data Engineer role at Datatech Analytics, responsible for designing and optimizing scalable data pipelines using AWS, Spark, Python, and SQL, collaborating with teams to build data solutions and leverage AI-assisted development tools.
Senior AI Engineer - GCP | Consumer Data & Digital
Senior AI Engineer building end-to-end AI solutions (data prep to production) on GCP for a retail/consumer goods company in Barcelona, using Python, SQL, BigQuery, Vertex AI, LLMs, and RAG architectures applied to CRM, loyalty, ecommerce, and marketing.
Senior Data AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer / MLOps Engineer productivizing AI solutions, responsible for ML model lifecycle, data pipelines, and production deployment using Python, PySpark, SQL, AWS, Docker, Kubernetes, CI/CD, Git, and MLflow.
Data & AI Software Engineer (m/f/d)
Build and operate data pipelines for reports, analytics, and machine learning, ensuring quality and scalability, while collaborating with cross-functional teams.
Consultor Data Engineering
Freelance Data Engineering consultant for an international project, responsible for designing and maintaining cloud data pipelines using AWS, PySpark, Python, SQL, Airflow, Docker, and ECS.
Senior Data Engineer / BI Consultant (Snowflake, dbt y Power BI) | Remoto
Build and optimize data pipelines using dbt and Snowflake, develop Power BI dashboards, and maintain ETL/ELT processes as a senior consultant for a technology consultancy.
Data Engineer with Snowflake and Python (Remote from Spain)
Builds and maintains Snowflake-based data pipelines in Python to ingest, transform, and analyze telemetry/log data for engineering intelligence and reporting.
Senior Data Engineer - Data Platform team (100% Remote within Spain)
Senior Data Engineer on the Data Platform team designing, building, and operating scalable data pipelines; core technologies include Airflow, AWS, dbt, Kubernetes, Terraform, and streaming (RabbitMQ/Kafka).
Senior Data Engineer – AI & Semantic Layer - barcelona
Senior Data Engineer designing and building semantic data layers and knowledge graphs for enterprise AI systems. Core technologies: RDF, OWL, SKOS, AWS (S3, Glue, Neptune, Bedrock), Python, SQL, graph databases.
Data Analyst / Data Engineer (Commercial Insurance)
Senior Data Analyst / Data Engineer on the Commercial Insurance team at ServiZurich (Zurich Insurance Group) in Barcelona, translating business needs into data-driven solutions using SQL, Azure, Databricks, and Python/Scala.
Data Engineer (GCP & BigQuery)
Data Engineer building and maintaining GCP/BigQuery data pipelines (ETL/ELT, batch, and real-time) using Python, SQL, dbt, and Prefect for a multinational retail company in Barcelona.
Senior Data Engineer
Senior Data Engineer designing and building data solutions, ETLs with Spark (Python/Scala), cloud-based pipelines on Azure/AWS, and data transformations with DBT for a global tech consultancy.
Data Engineer / Architect
Data Architect designing and leading scalable data platforms, end-to-end data flows, and architectural standards on Azure/AWS using big data tools like Spark and Databricks within an agile international squad.
Data Engineer Consultant
Data Engineer Consultant at Deloitte designing, developing, and maintaining end-to-end data pipelines using Azure services (Data Factory, Data Lake Storage, Synapse, Databricks/Fabric) with Python and SQL.
Data Engineer
Data Engineer will develop ETL processes, data models, and analytics solutions using SQL, Python, PySpark, and Power BI. They'll manage the complete data lifecycle and collaborate with business areas to translate requirements into technical solutions for an insurance company.