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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Specialist - **Company:** Trigyn Technologies - **Location:** Cantabria, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, C Sharp (Programming Language), Information Systems, Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Systems, Data Visualization, Relational Databases, Database Models, Apache Hadoop, Python (Programming Language), Machine Learning, Microsoft SQL Server, Scrum Methodology, Power BI, SQL Databases, Systems Integration, Scripting, Large Language Models, Apache Spark, HybridCloud, Information Technology, Data Management, Database View, Restful APIs, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://www.buscojobs.com.es/data-science-specialist-en-ribamontan-al-mar-ID-368991149 ## About the Role A first level university degree with a combination of relevant academic qualifications and experience in information and communications technology may be accepted in lieu of advanced university degree, Language: Fluency in spoken and written English is required. JFQ/JSQ: Required: - A minimum of five (5) years of progressively responsible professional experience in the field of Information and Communication Technologies, Engineering or other related fields is required. - A minimum of three (3) years of experience in development, implementation and maintenance of data systems, integrations and ETLs or related areas is required; - A minimum of three (3) years of experience with Microsoft SQL or other relational databases; - A minimum of three (3) years of experience with MS Fabric; - A minimum of three (3) years of experience developing with MS Microsoft SQL Server Integration - A minimum of three (3) years of experience in data transformation with Python; - Experience developingdata models with DAX or MDX in MS SQL Server Analysis Services or Power BI; - Experience leveragingGenerative AI tools and Large Language Models (LLMs) to accelerate data transformation, scripting (Python, DAX, SQL), and data modeling; - Experience in database modeling and datamart design; Desirable: - Experience in programming with C# and. Net; - Experience with MS machine learning and AI solutions; - Experience in REST APIs; - Familiarity with dataautomation techniques; - Familiarity with big data frameworks such as Spark and Hadoop; - Knowledge of Agile/Scrum methodologies ## Description Trigyn has a contractual opportunity for an Data Science Specialist.This resource will be working Remotely.Job Description: The Data Science and Engineering Specialist will be responsible for the following duties:- Architect, analyze, integrate and manage data in order to build data models and data driven insights to generate significant organizational value;- Implement data collection and integration procedures to gather information that is relevant for building and embedding analytic systems into user portals;- Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making;- Analyze a broad rangeof existing data sources;- Examine and explore data from multiple disparate sources;- Analyze and implementdata pipelines to bring data from databases and APIs into the analytics platform;- Processing, cleansing, and verifying the integrity of data used for analysis;- Design and implement data marts and data pipelines using hybrid cloud technologies;- Develop tabular cubes, database views, datasets and dataflows to expose data to visualization tools;- Build machine learning solutions for monitoring, detection, automation and forecasting;- Write documentation and prepare training materials;- Perform other duties as required Qualification Requirements/Evaluation Criteria Education: Advanced University degree (Master's degree or equivalent) in Applied Mathematics, Physics, Statistics, Computer Science, Information Systems / Technology, Business Administration, Engineering, or related field.A first level university degree with a combination of relevant academic qualifications and experience in information and communications technology may be accepted in lieu of advanced university degree.Language: Fluency in spoken and written English is required.JFQ/JSQ: Required:- A minimum of five (5) years of progressively responsible professional experience in the field of Information and Communication Technologies, Engineering or other related fields is required.- A minimum of three (3) years of experience in development, implementation and maintenance of data systems, integrations and ETLs or related areas is required;- A minimum of three (3) years of experience with Microsoft SQL or other relational databases;- A minimum of three (3) years of experience with MS Fabric;- A minimum of three (3) years of experience developing with MS Microsoft SQL Server Integration- A minimum of three (3) years of experience in data transformation with Python;- Experience developingdata models with DAX or MDX in MS SQL Server Analysis Services or Power BI;- Experience leveragingGenerative AI tools and Large Language Models (LLMs) to accelerate data transformation, scripting (Python, DAX, SQL), and data modeling;- Experience in database modeling and datamart design; Desirable:- Experience in programming with C# and.Net;- Experience with MS machine learning and AI solutions;- Experience in REST APIs;- Familiarity with dataautomation techniques;- Familiarity with big data frameworks such as Spark and Hadoop;- Knowledge of Agile/Scrum methodologies ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [JavaScript? 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