Control dimensional jobs in España

Estamos en búsqueda de un Auditor de Calidad con experiencia en el sector de MECANIZADO para garantizar el cumplimiento de los estándares de calidad en nuestros procesos productivos. La persona seleccionada será responsable de evaluar procedimientos, verificar controles dimensionales, aspectos visuales y asegurar los procesos CNC y contribuir a la mejora continua de la planta. Responsabilidades principales • Ejecutar y documentar auditorías internas durante el proceso productivo de mecanizado., • Verificar el cumplimiento de los estándares en las áreas de mecanizado y control de calidad., • Revisar y validar planes de control, registros de medición, aspectos visuales, etc., • Supervisar la correcta inspección de primeras y últimas piezas con validaciones conjuntas con producción., • Realizar auditorías volantes de producto y proceso., • Monitorear el estado de equipos de medición y asegurar el cumplimiento de calibraciones., • Identificar no conformidades y coordinar seguimiento de las acciones correctivas con los responsables de área., • Proponer mejoras para optimizar procesos, reducir scrap y aumentar la estabilidad del proceso. Perfil del candidato • Formación Profesional, Ingeniería Mecánica, Ingeniería Industrial, Tecnologías de Fabricación o similares., • Experiencia; Mínimo 2 años en roles de calidad dentro de plantas de mecanizado., • Conocimientos sólidos en procesos CNC: torneado, fresado, taladrado, rectificado., • Experiencia en auditorías internas de producto y proceso (se valorará VDA 6.5)., • Conocimientos técnicos indispensables, • Metrología dimensional: micrómetros, calibres, comparadores, rugosímetro, Video Proyector, CMM., • Interpretación de planos mecánicos y tolerancias GD&T., • Herramientas de calidad: Gestión de no conformidades, • Documentación técnica y trazabilidad de piezas., • Conocimientos de calibración., • Habilidades y competencias, • Alta atención al detalle y rigor técnico., • Capacidad analítica para interpretar variaciones de proceso., • Comunicación clara y profesional con operarios, supervisores y mandos medios., • Integridad, responsabilidad y objetividad en la toma de decisiones. Qué ofrecemos • Estabilidad laboral y oportunidades de desarrollo profesional., • Formación continua en sistemas de gestión y tecnologías de medición., • Ambiente de trabajo colaborativo y orientado a la mejora continua., • Condiciones económicas acordes a la experiencia.

Senior Data Engineer - Onsite A global leader in FinTech is looking for experienced Senior Data Engineers to join them. This is an opportunity to work on cutting edge data driven solutions as part of a collaborative, distributed team. If you’re a skilled Data Engineer with a passion for designing high quality systems and mentoring others, this could be the perfect role for you. What You’ll Be Doing • Designing, developing, and optimising scalable ETL/ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, and file based endpoints., • Building and maintaining a robust Data Platform using tools like Airflow, dbt, and GCP services such as Cloud Functions, Cloud Run, and BigQuery., • Collaborating with product and engineering teams to design data models and workflows that drive decision making and analytics across the company., • Mentoring junior team members and championing best practices in data engineering, including code reviews, testing, and pipeline orchestration., • Tackling technical debt by modernising outdated code and improving efficiency within the data stack., • Implementing data governance policies, including standards for data quality, access controls, and classification. What They’re Looking For • Extensive experience in Data Engineering or analytics engineering, with a track record of building and optimising complex pipelines in big data environments., • Proficiency in Python and SQL for data transformation and manipulation., • Strong knowledge of modern data stack tools, including Airflow, dbt, and cloud platforms like GCP or AWS., • Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling., • Clear and concise communication skills in English, with the ability to work effectively as part of a global, distributed team., • Experience delivering data solutions using software engineering principles, including version control (GitHub), CI/CD pipelines, and containerisation (Docker)., • A proactive approach to problem-solving, with the ability to identify optimisation opportunities and drive continuous improvement., • Prior experience in Financial Services or a similar industry. Desirable Skills • Experience with additional tools like Looker, MonteCarlo, or Hevodata. Why Join This Team? • Be part of a company that’s leading innovation in FinTech, with ambitious plans for 2026 and beyond., • Shape a brand new Engineering team and contribute to building a cutting edge Data Platform., • Join an organisation that prioritises diversity, inclusion, and equity, fostering a supportive workplace culture., • Work on high impact projects with the latest technologies in data and analytics. intro Consulting Ltd are proud to represent this forward thinking FinTech client. We act as their trusted recruitment partner, connecting top talent with meaningful opportunities.

Take your career to the next level with Amaris Consulting as a ETL Developer/Data Engineer. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate is a strong software engineer with deep knowledge of data modeling, ETL processes, and cloud-based data platforms. This role plays a key part in ensuring data quality, reliability, and availability across the organization. ✍️WHAT WOULD YOU NEED? ✍️ Proven experience as an ETL Developer, Data Engineer, or Software Engineer with a strong data focus. Strong knowledge of ETL tools and frameworks . Experience in data modeling (dimensional and/or relational models). Solid understanding of databases (SQL and data warehousing concepts). Experience working with cloud platforms (AWS, Azure, GCP, or similar). Strong programming skills and experience writing maintainable ETL code. Ability to work independently and take ownership of data and ETL systems. Good communication skills in English, both written and verbal. WHAT WILL YOU BE DOING? Design, develop, and maintain ETL pipelines to transfer and transform data from multiple sources. Own and maintain everything related to ETL processes and databases . Develop and optimize ETL code to ensure efficient, reliable, and scalable data movement. Perform data modeling to support analytics, reporting, and downstream data consumers. Act as an ETL Architect , defining best practices, standards, and data integration strategies. Collaborate with data analysts, data scientists, and software engineers to understand data requirements. Ensure data quality, integrity, and performance across data systems. Work with cloud-based data solutions and modern data stacks. WHY US?? Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's what we offer: - Rapid growth through a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions. - Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops. - Take control of your training with a personal annual budget and company-paid certifications. - Enjoy flexible policies, remote work options and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance. - Benefit from our WeCare programme, which supports employees in critical situations. - Unlock your full potential, both professionally and personally. Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.