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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Engineer Lead - **Company:** Fall Creek® - **Location:** Sevilla, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Databases, Data Governance, Extract Transform Load (ETL), Database Design, Python (Programming Language), Metadata, Power BI, Microsoft SharePoint, SQL Databases, Technical Data Management Systems, Data Processing, Git, Software Version Control, Data Pipelines, Workday - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role One of the following: a Ph.D. degree in a relevant field, a Master's degree in a relevant field with 3 years of experience, OR a Bachelor's degree with 5 years of relevant experience. Strong background in data modeling, ETL processes, and database design. Hands-on experience with data pipeline tools, experience building and maintaining in-house data products, proficiency in SQL, Python, and/or R, and familiarity with version control (Git). A commitment to ethical action and adherence to humanistic values of humility, skepticism, and curiosity. Demonstrated ability to work effectively as part of a cross-disciplinary and diverse, international team. Demonstrated ability to independently identify opportunities and to support and prioritize requests from stakeholders for data processing, engineering, analysis, and visualization needs. Excellent organizational skills, able to manage multiple projects from diverse stakeholders. Excellent oral and written communication skills, with emphasis on ability to translate technical data science concepts for diverse, non-technical audiences. Bilingual proficiency in English and Spanish. PREFERRED QUALIFICATIONS Familiarity with biology or related fields such as agricultural science, horticulture, plant breeding, ecology, or environmental science. Experience with interactive data visualization programs such as PowerBI or Shiny. Experience evaluating high-throughput plant phenotyping or precision agriculture technologies. Familiarity with AI data readiness principles. Familiarity with Microsoft SharePoint platform ## Description This role will work with diverse colleagues from around the world. While much of the work will be global or international, the role will also have a regional focus-supporting the data science needs of R&D teams in Europe and Africa JOB SETTING: This position is based at the Fall Creek research farm in Sevilla, Spain, and will be expected to be physically present at the research farm every workday. The position will also require occasional domestic and international travel. What you'll do at Fall Creek: Design, engineer, and maintain complex, multi-modal databases for plant phenotypic and environmental data from multiple sources. Develop, test, and implement data quality models within data processing pipelines. Implement data governance standards, including metadata and data provenance tracking. Support company-wide initiatives for AI data readiness. Act as a liaison between R&D and IT teams, such as translating data collection needs from biologists into guidance for data pipelines. Acting as a technical domain expert collaborating with regional colleagues on data science projects, such as designing horticultural management experiments, statistical analysis of breeding trials, and processing of climate time-series data for integrating into forecasting, genomic selection, or other models. Communicate project results to technical and non-technical stakeholders across regions, supporting the improvement of variety development. Collaboratively and critically evaluate and incorporate new data collection technologies aimed at improving breeding methodologies. Adhere to company values and treat colleagues with respect. 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