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Senior Data & AI Engineer (7+ years) building AI/LLM-powered applications, backend services, and end-to-end data pipelines on AWS using Python, TypeScript, Databricks, Apache Spark, and DBT. Remote position open across Latin America (Costa Rica, Peru, Colombia, Bolivia).
Build and maintain a large-scale data platform for AI experiment tracking and analytics, using tools like dbt, Dagster, and Airflow to support self-service reporting and ML workflows.
Owns analytics for CoreWeave's Machine Infrastructure Supply Chain team, building and evolving the enterprise semantic layer — turning raw data into trusted models, metrics, and executive dashboards. Works across the full analytics stack with dbt, SQL, Airflow, Spark, StarRocks, Tableau, and Omni.
Senior Data Analyst who designs, builds, and owns the analytics that ShipStation Global's business teams use — writing dbt models on BigQuery/Databricks, maintaining Looker/LookML and Power BI semantic layers, and partnering with stakeholders on metrics and insights. Hybrid role (3 days/week in office) in Austin or Dallas, TX.
Analytics Engineer who builds and maintains HR data pipelines on Elastic's GCP/BigQuery/dbt stack with an AI-powered analytics layer, starting with recruiting reporting. Day to day: connecting HR systems (Workday, Greenhouse, Qualtrics, ServiceNow), automating reports, building self-service dashboards, and governing sensitive HR data. Requires 2+ years of GCP pipelines plus strong SQL and Python.
Hands-on technical lead role owning THG's data engineering architecture across Customer, Commercial and Operations domains, managing and mentoring a team of six engineers. Core stack is BigQuery/GCP with Python and Dataform/dbt, building trusted domain datasets while embedding AI-assisted engineering practices.
Senior Data Analyst at Uklon, a leading ride-hailing product company, building dashboards and analyzing metrics to optimize driver-rider interactions and product performance using SQL, BI tools, and Python.
Context Our full data pipeline starts with the crawling and ingestion of massive volumes of social media & physical events data, which are then analyzed by our computer vision models. These predictions mapped to…
Lead AXS’s global data engineering team to build and scale platforms that power analytics, personalization, fraud prevention, and real-time decisioning for live event ticketing and e-commerce.
Senior Data Engineer at CONVOTIS Iberia (Elche, Spain) who designs, builds, and evolves robust data pipelines and analytical models using Databricks, Airflow, dbt, and Snowflake, focusing on data quality, performance, and cost while enabling BI, analytics, and AI use cases.
Hybrid Data Engineer role in Kyndryl's Applications, Data & AI practice, building cloud-native data platforms on Google Cloud Platform. Day to day: designing and maintaining ETL/ELT pipelines, data models, and quality/governance controls that enable analytics and AI use cases in enterprise environments.
Data Engineer designing and optimizing real-time data pipelines on Google Cloud for international logistics and last-mile delivery projects. Core stack is GCP with Airflow, Dataform/dbt, and Pub/Sub; requires 4+ years of GCP data engineering experience and fluent Spanish and English (B2).
Mid-level Data Engineer in Madrid (hybrid, 2 days onsite) working in cloud environments to build and manage data pipelines using Snowflake, advanced SQL, and DBT. Dimensional modeling, CI/CD, and Agile experience are valued; B2 English and strong communication required.
T-Systems (Deutsche Telekom) is hiring a cloud data engineer in Sevilla to build and maintain ETL pipelines and data models on Google Cloud Platform, supporting data-driven business processes. Core stack: BigQuery, dbt, Airflow, and SQL, working in an international agile team.
Cloud data engineer at T-Systems Iberia who designs, builds, and maintains cloud-based data solutions on Google Cloud Platform, developing scalable data pipelines and robust data models with BigQuery, dbt, and Airflow in an agile international team within a multinational Deutsche Telekom context.
Data engineer in Kyndryl's Applications, Data & AI practice (Spain, hybrid/partially remote), building cloud-native data platforms on Google Cloud: designing ETL/ELT pipelines with BigQuery, Dataflow, Pub/Sub and Composer, developing data models, and adding data-quality, monitoring and governance controls for analytics and AI use cases.
Hybrid Data Engineer role in Barcelona designing scalable ETL/ELT pipelines on Google Cloud Platform for analytics and AI use cases, with a focus on data quality and governance in enterprise environments. Core stack includes SQL, Python, dbt, Spark, Kafka, Terraform, and Docker.
At T-Systems (Deutsche Telekom), design, develop, and maintain cloud-based data solutions on Google Cloud Platform — building scalable data pipelines, SQL data models, and ETL processes in an international, agile team. Core stack: GCP, BigQuery, dbt, and Airflow, working closely with Product Owners, Data Engineers, and Architects.
T-Systems (Deutsche Telekom) seeks an experienced data/software engineer in Reus, Spain to build scalable pipelines, SQL models, and ETL processes on Google Cloud Platform, designing data models with dbt, monitoring data quality, and supporting deployments with German and nearshore stakeholders.
T-Systems (a Deutsche Telekom subsidiary) seeks an experienced software/database developer to build cloud-based data solutions on Google Cloud Platform. Day to day: designing data pipelines, data models and ETL processes in an international agile team, collaborating with Product Owners, Data Engineers and Architects. Core stack: SQL, BigQuery, dbt, Airflow.
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