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Cloud Data Engineer
Build and maintain a Snowflake-based data warehouse and design ETL/ELT pipelines so BI teams can create Power BI reports.
Expert Data Engineer
Design and build scalable data platforms, ETL/ELT pipelines, and cloud data warehouses using GCP tools like BigQuery, DBT, Airflow, and Trino to support data-driven decisions.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using GCP, BigQuery, DBT, Airflow and Trino to enable scalable analytics and data-driven decisions.
Senior Data Engineer
Build and maintain a modern data platform (Snowflake, dbt, Dagster) that ingests, transforms, and serves data to product and analytics teams across the company.
Staff Data Engineer
Build and own the data foundation for Zendesk’s product analytics, designing scalable pipelines, semantic layers, and standards to power data-driven decisions and AI-assisted workflows.
Data Engineering Manager
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Data Engineer
Build and optimize Accelerant’s cloud-based data platform, designing pipelines, APIs, and ML infrastructure to power analytics and SaaS for specialty insurance risk exchange.
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Senior Applied Data Scientist designs scalable data infrastructure and feature pipelines for AI models in Keysight’s test, measurement, and design workflows, using Python, SQL, Spark, and Snowflake.
Data Architect (GCP + AWS) + GenAI — 100% Remoto España
Design and maintain large-scale cloud data architectures while building generative AI solutions (RAG, LLMs, agents) in Python and SQL.
Senior Software Engineer in Test, Data / ETL (Remote - EMEA)
Designs and runs automated tests for cloud-native data pipelines (BigQuery, Airflow, Cloud Run) to ensure data quality and reliability in ETL workflows.
Senior Software Engineer In Test, Data / Etl
Senior QA engineer builds and maintains automated tests for cloud-native ETL pipelines, ensuring data quality and reliability across BigQuery, Airflow, and GCP systems.
Data & Analytics Academy – Future Data Analytics Consultant / Engineer Madrid
Intensive 5-month academy training junior data engineers/consultants in Madrid, covering Snowflake, Databricks, dbt, and AI workflows, with potential post-program employment.
(Senior) AI Engineer - Data & AI Organisation (all genders)
Build and scale AI systems, including LLM pipelines and agentic workflows, to deliver data-driven solutions for Merck’s business functions like Finance, HR, and Procurement.
Senior Analytics Engineer — Data Insights & Metrics
Senior Analytics Engineer builds and scales Snowflake data models and metrics using DBT and Python to enable trusted analytics and self-service insights for stakeholders.
Data Warehouse Analytics Engineer On-site Barcelona
Build and maintain ELT pipelines, model data, and enforce integrity with SQL, dbt, Snowflake, and Looker in a Barcelona-based product company.
Data Platform Architect - IT Engineer
Design and build a Snowflake/Azure-based data platform, automate pipelines with DBT, and enable teams with Python, SQL, and IaC to turn raw data into actionable insights.
Analytics Engineer — Data Modeling & Self-Service Analytics
Builds reusable data models and dashboards for Spendesk’s spend-management platform using SQL, dbt, and Snowflake to enable self-service analytics.
Senior Data Platform Engineer - Snowflake/Azure & Salesforce
Design and build cloud-native data platforms using Snowflake, dbt, Airflow, Python, and SQL, integrating Salesforce data for analytics and governance.
Education Programme - Data Engineering
Free 2-month in-person training in Granada teaching SQL, dbt, Snowflake and Power BI for aspiring data engineers, with a final project and potential hiring.
Data & ML Platform Engineer – Azure
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.