Data & Analytics Engineer (m/f/d), Greenfield Data Platform
Data & Analytics Engineer (m/f/d), Greenfield Data Platform

Data & Analytics Engineer (m/f/d), Greenfield Data Platform

Holzminden Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join us to develop a cutting-edge Data & Analytics Platform and drive innovation.
  • Arbeitgeber: Symrise is a global leader in fragrances, flavors, and food ingredients with a strong commitment to corporate responsibility.
  • Mitarbeitervorteile: Enjoy a hands-on role in a fast-paced environment with opportunities for career growth and development.
  • Warum dieser Job: Make a real impact by working on exciting projects at the intersection of technology and business.
  • Gewünschte Qualifikationen: Degree in Computer Science or related field; experience with ETL pipelines and cloud platforms like Azure.
  • Andere Informationen: Fluency in English required; positions available in Barcelona and Holzminden.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

About Us

Symrise is a global supplier of fragrances, flavors, food, nutrition, and cosmetic ingredients. Its clients include manufacturers of perfumes, cosmetics, food and beverages, pharmaceuticals, and producers of nutritional supplements and pet food.

Its sales of € 4.7 billion in the 2023 fiscal year make Symrise a leading global provider. Headquartered in Holzminden, Germany, the Group is represented by more than 100 locations in Europe, Africa, the Middle East, Asia, the United States, and Latin America.

Symrise works with its clients to develop new ideas and market-ready concepts for products that form an integral part of everyday life. Economic success and corporate responsibility are inextricably linked as part of this process.

Symrise – always inspiring more…

Your role

Symrise is embarking on an exciting digital transformation journey. As part of our corporate strategy, we are building a cutting-edge, in-house Data & Analytics Platform designed to drive innovation and empower decision-making across the organization.

We are seeking a curious and driven Data & Analytics Engineer (m/f/d) to play a key role in developing this greenfield platform. This is your opportunity to make a real impact, working on projects at the intersection of technology and business, including Artificial Intelligence, Industrial Internet-of-Things, Robotic Process Automation, Low Code Platforms, Business Intelligence, and Cloud Web Applications.

In this hands-on, cross-functional role, you will:

  1. Develop Innovative Data Solutions: Design, implement, and maintain ETL pipelines, data models, and data assets and products to power business-critical applications.
  2. Integrate and Harmonize Data: Work with diverse source systems to create unified, high-quality datasets, leveraging and enhancing our existing data assets.
  3. Shape Data Architecture: Collaborate with senior engineers and architects to design scalable and efficient data architectures.
  4. Collaborate with Experts: Partner with the Digital Transformation & Analytics team, other data engineers, and business domain experts to translate business requirements into impactful solutions.
  5. Enable Users: Provide training, knowledge-sharing sessions, and documentation to empower business users and ensure smooth platform adoption.
  6. Ensure Quality: Participate in agile planning, retrospectives, and delivery events, and adhere to best practices like automated testing and version control.
  7. Resolve Issues: Support technical troubleshooting and incident resolution to maintain seamless operations.

About You

  1. Degree in Computer Science, Data Engineering, or a related technical field
  2. Advanced knowledge of programming languages for Databricks on Azure, including Python, PySpark, and Pandas/Polars
  3. Experience designing and optimizing ETL pipelines for complex datasets
  4. Solid understanding of data modeling, metadata management, and performance optimization; prior exposure to advanced analytics and machine learning tools is a plus
  5. Experience with cloud platforms like Azure, GCP, or AWS (Azure preferred)
  6. Familiarity with Infrastructure-as-Code, CI/CD pipelines, and automated testing
  7. Experience with APIs and defining data access for various applications is advantageous
  8. Fluency in English, both written and verbal

Our offer

Are you a hands-on problem solver with a passion for data and technology, ready to thrive in a fast-paced, innovative environment? Become part of our open and transparent culture. Putting our employees in focus fuels our strong company growth above market rates and makes us an excellent place to develop your career.

Come join us and embark on a fascinating journey with Symrise.

If you feel that you fit the above criteria, then please apply by using our online application system. Your application will be treated confidentially.

LOCATION (COUNTRY)

Barcelona (Spain), Holzminden (Germany)#J-18808-Ljbffr

Data & Analytics Engineer (m/f/d), Greenfield Data Platform Arbeitgeber: Symrise AG

At Symrise, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration in our vibrant locations like Barcelona and Holzminden. Our commitment to employee growth is evident through continuous learning opportunities and a transparent work environment that encourages creativity and problem-solving. Join us to be part of a dynamic team where your contributions will directly impact our digital transformation journey and the future of our industry.
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Kontaktperson:

Symrise AG HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data & Analytics Engineer (m/f/d), Greenfield Data Platform

✨Tip Number 1

Familiarize yourself with Symrise's business model and the industries they serve. Understanding their products and how data analytics can drive innovation in these areas will help you tailor your discussions during interviews.

✨Tip Number 2

Showcase your experience with Azure and Databricks specifically. Since the role emphasizes these technologies, being able to discuss your hands-on projects or challenges you've overcome using them will set you apart.

✨Tip Number 3

Prepare to discuss your approach to designing ETL pipelines and optimizing data models. Be ready to share specific examples of how you've improved data quality or performance in past roles.

✨Tip Number 4

Highlight your collaborative skills and experiences. This role involves working closely with various teams, so demonstrating your ability to communicate effectively and work cross-functionally will be crucial.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data & Analytics Engineer (m/f/d), Greenfield Data Platform

ETL Pipeline Design
Data Modeling
Programming in Python
PySpark Proficiency
Pandas/Polars Knowledge
Cloud Platform Experience (Azure preferred)
Data Integration and Harmonization
Metadata Management
Performance Optimization
Familiarity with Infrastructure-as-Code
CI/CD Pipeline Implementation
Automated Testing Practices
API Development and Management
Agile Methodologies
Technical Troubleshooting

Tipps für deine Bewerbung 🫡

Understand the Company: Familiarize yourself with Symrise's mission, values, and the industries they serve. This will help you tailor your application to align with their goals and demonstrate your enthusiasm for their work.

Highlight Relevant Skills: Make sure to emphasize your experience with programming languages like Python and PySpark, as well as your knowledge of ETL pipelines and cloud platforms, particularly Azure. Use specific examples from your past work to illustrate your expertise.

Craft a Strong Cover Letter: Write a compelling cover letter that outlines your passion for data and technology. Explain how your skills and experiences make you a perfect fit for the Data & Analytics Engineer role and how you can contribute to Symrise's digital transformation journey.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.

Wie du dich auf ein Vorstellungsgespräch bei Symrise AG vorbereitest

✨Show Your Technical Skills

Be prepared to discuss your experience with programming languages like Python and PySpark. Highlight specific projects where you designed and optimized ETL pipelines, as this will demonstrate your hands-on expertise.

✨Understand the Business Context

Research Symrise and its role in the fragrance and flavor industry. Be ready to explain how your data solutions can drive innovation and support business decision-making, showing that you understand the intersection of technology and business.

✨Collaborate and Communicate

Emphasize your ability to work cross-functionally. Prepare examples of how you've partnered with other teams or stakeholders to translate business requirements into technical solutions, showcasing your collaborative spirit.

✨Demonstrate Problem-Solving Skills

Be ready to discuss past challenges you've faced in data engineering and how you resolved them. This could include troubleshooting technical issues or optimizing data architectures, which will highlight your proactive approach to problem-solving.

Data & Analytics Engineer (m/f/d), Greenfield Data Platform
Symrise AG
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  • Data & Analytics Engineer (m/f/d), Greenfield Data Platform

    Holzminden
    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-09

  • S

    Symrise AG

    10,000 - 15,000
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