Data and Analytics Engineer
Data and Analytics Engineer
Symrise AG
Chemie
- Holzminden
- Vollzeit
- 79.500 € – 96.500 € (von XING geschätzt)
Data and Analytics Engineer
Über diesen Job
Data and Analytics Engineer Bewerben
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 likePhilyraandSymvision 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 throughTicket 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)
- Land
Deutschland
- Standort
Holzminden
- Division
Corporate Functions
- Funktionsbereich
Informationstechnologie & -dienstleistungen
- Vertragsart
Mit Berufserfahrung
- Ausschreibungsende
30-Mai-2026
- Recruiter
Natalia Cristales
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 likePhilyraandSymvision 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 throughTicket 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)
Gehaltsprognose
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 264 BewertungenVorteile für Mitarbeitende
Unternehmenskultur
Symrise AG
Branchen-Durchschnitt
Unternehmenskultur
264 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Symrise AG als ausgeglichen zwischen traditionell und modern. Dies stimmt in etwa mit dem Branchen-Durchschnitt überein.