Tech jobs
Job listings
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.
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.
Mid Data Engineer AWS + Databricks | 100% Remoto desde España
Data Engineer builds and maintains secure, scalable cloud data platforms using Databricks, AWS, and Terraform for large-scale enterprise analytics.
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 Engineer - Databricks + AWS
Senior Data Engineer working on complex, high-impact projects using Databricks (Unity Catalog, Delta), AWS (EMR, Athena, Glue, Lake Formation), Azure, and Terraform with DevSecOps practices.
Senior Data Engineer (AWS)
Senior Data Engineer maintaining and evolving a corporate Data Lake on AWS, designing batch and streaming data pipelines with Spark, Python, and Kafka for banking and insurance sector clients.
Data Engineer DBT Snowflake. Inglés
Senior Data Engineer specializing in Snowflake and DBT to design analytical data models, optimize cloud data warehouses, and build efficient ETL/ELT pipelines for reporting and analytics.
AWs Data Engineer - Lawrence Harvey
Senior Data Engineer designing and building scalable AWS-based data platforms, working with Python, Spark, and various AWS services like S3, Lambda, and Glue.
Data Engineer (She, He, They) - madrid
Data Engineer at NTT DATA designing, developing and testing data pipelines and Data Vault models (ingestion, reconciliation, consumption layers) using SQL, dbt, and Azure in Madrid.
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.
Data Engineer AWS/ETL. Remoto
Leads telemetry and performance strategy as a Data & Observability Engineer, capturing, structuring, and transforming application data (metrics, logs, traces) into actionable insights using Datadog, OpenTelemetry, AWS, Python, and SQL.
SIEM Data Engineer
Designs and optimizes SIEM platforms by integrating log sources, building scalable pipelines, and developing security use cases for enterprise environments using Cribl, Splunk/Elastic, and scripting.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets in real time.
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.
Software Engineer, AI, Full-stack - flyboard
Full-stack Software Engineer building and scaling Flyboard's AI voice agent platform using Python, JavaScript, and AWS, with heavy focus on API integrations to AI model providers like OpenAI and Anthropic.