31 Best Atención Sanitaria Jobs in Buñol (March 2026)

Tech Data Scientist

12 hours ago

Chiva

Avincis is one of the world's leading Emergency Aerial Service Operators and the largest in Europe. Join us and be part of a mission to protect lives, safeguard communities, and make a positive impact. Lea atentamente toda la información sobre esta oportunidad y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura. We are seeking a skilled and motivated Data Scientist to join our team. Reporting to the Head of Data and AI, this role plays a key part in supporting the organization's end-to-end data and AI needs. You will also ensure that each project remains aligned with evolving business needs, maintaining a high standard of quality, scalability, and impact across the full lifecycle. Contribute to the agile board.Design, build, and maintain scalable data pipelines and ETL processes.Manage and optimize data architectures to support AI and machine learning workflows.Ensure data quality, integrity, and compliance with internal standards and regulations. Data Platform: Azure Fabric.Data management tools: Pyspark, sql.Programming language: Python.Cloud tools: Azure Devops, Azure Boards, Azure Data Factory, Blob Storage, Azure Key Vault.Power BI.Others: Git, terraform. Solid understanding of Machine Learning concepts and experience applying them to real-world problems.model versioning, monitoring, automation) is a plus.Good knowledge of data engineering and modern big data architectures (e.g., lakehouse, Data Warehouse, medallion architecture).Proficient in problem-solving, and able to navigate complex data environments with autonomy.Strong kills with data visualization tools (e.g., Power BI) to support the delivery and explanation of insights.Fluent in English, both written and spoken. Bachelor's or Master's degree in Mathematics, Physics, Computer Science, Engineering, or a related field. At least 12 months of hands-on experience working on Big Data Environments.Proven experience designing data and software architectures.Working knowledge of Python and SQL, and Pyspark (also valid Spark in Scala or R).Familiarity with platforms like Databricks or Microsoft Fabric for scalable data and analytics solutions.Experience working in cloud environments, with Microsoft Azure preferred; exposure to AWS or others is a plus.Understanding of modern data storage approaches (data lakes, lakehouses, cloud-native warehouses).Awareness of data governance, data quality, and security considerations in enterprise settings. Safety : We uphold safety as our first priority above all other business outcomes.Accountability : We are answerable for our actions, behaviours, and performance, and we inspire others to uphold their commitments and take responsibility. #In accordance with the provisions of Regulation (EU) 2016/679 of 27 April 2016 (RGPD) and Organic Law 3/2018, of 5 December, on Data Protection and Guarantee of Digital Rights, we inform you and request your consent, or that of your legal representative, to incorporate your data into the files of AVINCIS, as data controller, and to process them in order to carry out your selection process and maintain a comprehensive relationship with you. The NIF of the Data Controller is A-03125010 and the address is Aeródromo de Mutxamel, Partida la Almaina, no92, CP: 03110, Mutxamel, Alicante. In this act you give your consent to the transfer of your data, present and future, to those companies and professionals who need your services for the proper completion of the order made by the Data Controller. You may exercise your rights of access, rectification, cancellation and opposition in the manner and in accordance with the procedures established in the aforementioned Organic Law, by writing to the above address or to the e-mail address owner of the data is responsible, in any case, for the truthfulness, accuracy, validity, authenticity and relevance of the Personal Data provided. xcskxlj Note: As a company committed to equal opportunities between women and men, AVINCIS evaluates all applications according to objective criteria in order to select the most suitable person for the position offered, regardless of gender.

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