Job Description
Buynomics is seeking a Data Engineer to join their Machine Learning Applications Team. The ideal candidate will be responsible for implementing and maintaining data generation and aggregation pipelines that support Buynomics' Virtual Shopper technology. This role involves collaborating with Data Scientists and Engineers to ensure seamless integration of data processing components into end-to-end systems.
Responsibilities:
- Develop high-performance code for efficient data input/output, generation, and transformation
- Design and maintain clean, scalable interfaces and APIs for core data processing functions
- Collaborate closely with Data Scientists to understand business needs around data availability and simulation input
- Work alongside Engineers to seamlessly integrate data processing components into end-to-end systems and APIs
- Contribute to a collaborative and innovative environment focused on advancing Buynomics' Virtual Shopper simulation capabilities
Requirements:
- 5 years of experience as a Data Engineer
- Degree in Computer Science, Mathematics, Physics, or a related discipline
- Strong programming skills in Python
- Proven ability to write performance-optimized code for loading, storing, and manipulating tabular data
- Experience with data modeling for both structured and unstructured data
- Hands-on experience with core Python data tools such as Pandas and NumPy
- Solid understanding of data lakes and modern cloud platforms
- Familiarity with big data processing technologies is a plus
- High attention to detail and quality
- Excellent communication skills in English
What Buynomics Offers:
- A vibrant, international, and diverse work environment
- Flexible work options: remote within the EU with occasional visits to our Cologne HQ or Barcelona office or a hybrid setup in one of these locations
- A dedicated learning budget to support your professional growth and development
- Local language lessons (Germany and Spain)
- Health and fitness benefits (Germany and Spain)
- Personal and professional growth opportunities
- Regular company events