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Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos,…
Desarrolla y escala plataformas de datos en la nube usando ML en Databricks sobre AWS, con pipelines en tiempo real y detección de anomalías.
Own the technical architecture of data integration domains, unifying hospitality data across pipelines and translating business needs into scalable data solutions using Python, cloud technologies, and ETL/ELT.
Leads the full test cycle for automotive high-voltage (HV) systems, from DUT preparation to documentation, using programming and test tools for automation and data-driven QA.
Design RAG pipelines and optimize vector databases as a Data Scientist at iTalenters, deploying models in Azure cloud environments while collaborating with teams in Barcelona and Switzerland.
Develops and maintains treasury and derivative processes using PL/SQL for the financial sector. Works on critical business solutions in a hybrid Madrid model, with Java/Spring Boot considered a plus.
Lead Agile ceremonies and mentor distributed teams to improve data engineering workflows and product delivery.
Build data-focused dashboards and interfaces using React and TypeScript in a hybrid role based in Málaga.
Contribute to design, development, and deployment of data and AI solutions, working on scalable pipelines, POCs, and production implementations. Use Snowflake, dbt, and cloud platforms (AWS/Azure) in a hybrid Madrid office.
DBA Engineer defining, provisioning, and maintaining databases (SQL Server, Oracle, MySQL, PostgreSQL) on Azure and Linux/Windows, ensuring availability and handling 24x7 incidents.
Audits and maps complex data structures in BigQuery to ensure business-aligned accuracy, with a focus on SQL expertise and AI/ML prompt engineering for precise query generation.
Support data and reporting infrastructure using Java microservices and ETL workflows to structure and expose data for internal reporting.
You will design and implement scalable data solutions using Databricks, PySpark, SQL, and Azure technologies for a healthcare data platform, transforming raw data into actionable dashboards and data products.
A SaaS Data Governance Platform Engineer configures, supports, and improves Collibra or similar data governance solutions, collaborating with business users and technical teams while managing incidents, API integrations, platform upgrades, and releases in a hybrid office model.
Builds and maintains a Collibra-based SaaS data governance platform, handling integrations, incident management, and hybrid support for dev/qa/prod teams while mentoring and collaborating with stakeholders.
Build and maintain scalable data pipelines on AWS using DBT, Snowflake, and SnapLogic for a pharma client's enterprise data platform, focusing on data integration and transformation to power analytics and reporting.
Support Engineer configuring and maintaining a Collibra Data Governance SaaS platform for a pharma project — handling incidents, API integrations, and release management across Dev/QA/Prod environments.
The Data & AI Platform Engineer Intern contributes to designing, developing, and deploying data and AI solutions, focusing on building scalable data pipelines and AI/GenAI applications on the company's data platform. The role involves working with Python, SQL, and potentially Snowflake, dbt, AWS, and Azure.
A Data Quality Engineer at PrimeIT España in Valencia, responsible for integration and end-to-end testing with Playwright and Cypress, data validation with SQL/BigQuery, and improving cloud data pipelines, with 3 years of QA experience.
A senior data platform engineer designs and implements scalable end-to-end data solutions for healthcare analytics using Databricks, PySpark, and SQL on Azure, building real-time and batch pipelines and creating actionable dashboards.
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