Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
Work in an international, multicultural environment alongside leading engineering experts, where innovation meets precision and sustainability. This role offers you the opportunity to develop deep technical expertise in item designation and asset management while collaborating with global teams, customers, and partners on mission-critical projects that shape the energy transition.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
What you will do You can take a business problem, translate it into a technical problem, and work with the team to ensure it is properly designed, planned, and delivered. Help envision and work hand-in-hand with other colleagues to develop a scalable software architecture for our API written in PHP.
What we offer Passion, a sense of responsibility, mutual appreciation, and respect as corner stones of our corporate culture An exciting job with the premier manufacturer of recycled plastic pallets and large containers Dedication and joy in our day-to-day work Responsibility and space for creative ideas Secure long-term employment Individual, international development opportunities with interesting career prospects Attractive compensation package Modern technical equipment We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants as well as our employees – regardless of race, gender, age, religion and beliefs, sexual orientation and gender identity, disability, cultural, ethnic or national origins.
As part of SCAYLE’s Add-on Unit, we build modular, plug-and-play e-commerce solutions that extend the SCAYLE commerce engine and enable additional capabilities for our tenants. As a Senior Frontend Engineer, you are a key technical contributor within a team of 5–6 engineers. You architect and implement scalable micro-frontend features using Vue.js 3 and Vite, integrating complex add-ons directly into the SCAYLE core panel via SingleSpa.
You ensure performance, security, and maintainability while guiding the team through complex technical decisions. This is a senior, hands-on leadership role requiring 10+ years of experience in building and operating scalable web applications in production environments.
Strong Communicator: Ability to communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g., Product, Design). Team Player: Actively shares knowledge, mentors other team members, and is focused on achieving collective team goals.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.