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Data and Analytics Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Catalonia, Spain
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Description

**About us** Symrise is a global leader in fragrances, flavors, food, nutrition, and cosmetic ingredients, with a strong commitment to digital transformation. We partner with the world's leading manufacturers to develop products that enhance everyday life, from perfumes and cosmetics to food, beverages, and pharmaceuticals. With a global presence and a focus on sustainable growth, Symrise is dedicated to innovation and creating a better future. At Symrise, economic success and corporate responsibility are inextricably linked. **Why Symrise?** * Be at the forefront of our data\-driven transformation, building solutions that directly impact business decisions and drive innovation * Join a company that invests in its employees and offers opportunities for continuous learning and career advancement. Work alongside talented professionals in a collaborative and supportive environment * Work with modern technologies like Azure Databricks and contribute to the development of AI\-powered solutions * Be part of a global company with a diverse and inclusive culture, working on projects that have global reach * Live and work in the vibrant city of Barcelona, a hub of innovation and technology * Contribute to the growth of our Data \& AI Hub in Barcelona, shaping its future and direction **Your role** Join Symrise as a Data Engineer in Barcelona and play a pivotal role in shaping the future of our data landscape. You'll be instrumental in building a modern, scalable data platform on Azure Databricks, with strong support from our executive leadership. This is more than just a job; it's a chance to be a key player in our digital transformation, directly impacting strategic initiatives and high\-value use cases across the company. As part of our dynamic Data \& AI Hub, you'll collaborate within Agile Scrum teams, utilizing methodologies like daily stand\-ups, retrospectives, and demos, and deploying solutions through GitHub CI/CD pipelines. You'll be at the forefront of developing robust ETL processes, constructing unified cross\-functional data assets, and creating data\-driven products that power advanced analytics, AI applications (including exciting projects like Philyra and Symvision AI), IoT solutions, RPA workflows, and cloud\-based platforms. This role offers a unique opportunity to bridge business expertise from our Sensory and Consumer domains with our global Data Engineering practice, fostering innovation and driving tangible business value. **Your Key Responsibilities** * Design, build, and manage robust data pipelines and data products to support analytics, reporting, data collection, and web applications * Collaborate with diverse teams, including data scientists, analysts, product owners, and business stakeholders, to gather requirements, define roadmaps, and deliver impactful data solutions * Ensure data accuracy, consistency, and quality by implementing data quality controls and monitoring mechanisms * Contribute to the development of our Unified Cross\-Functional Data Assets, working with key domains like Consumer, Samples, Research \& Technology, Innovation, Procurement, and Sustainability * Actively participate in the full software development lifecycle, from ideation and user story prioritization to deployment and operation **What You Bring to the team** * Strong hands\-on skills in Azure Databricks, Python and SQL, with proven experience in developing ETL pipelines, data models, and optimizing Apache Spark workloads. A solid understanding of concepts like shuffle, spill, and broadcast joins is highly desirable * A curious, analytical, and proactive approach to problem\-solving, with a strong desire to grow into a senior engineering role and contribute to cutting\-edge projects * Excellent communication and collaboration skills, with the ability to thrive in cross\-functional environments and work effectively with both local and global teams * A passion for staying current with industry trends, emerging technologies, and best practices in data engineering, DataOps and automated testing **Nice to Have** * Experience with cloud platforms such as Azure, AWS, or GCP * Familiarity with SAP data integration and environments * Data modeling expertise using methodologies like Kimball or Data Vault 2\.0 **Our offer** At Symrise, we value our people and provide a supportive and flexible work environment. You can expect: * A competitive salary package aligned with your experience and qualifications * Private health insurance for your well\-being and peace of mind * Life insurance coverage * Meal allowance through *Ticket Restaurant* * A hybrid working model that supports work\-life balance (2 days in the office per week) * A modern, collaborative workspace in our new Tech, Data \& AI Hub located in vibrant Poblenou (Barcelona) Job Reference: EA02377

Source:  indeed View original post
David Muñoz
Indeed · HR

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