We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.
Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.
This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.
Develop your professional career working with one of the major brands in the fashion industry
Opportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics
Driving high-impact insights enhances decision-making across the entire organization
Driving brand equity and digital sales through enhanced digital experiences
Interaction with senior business and eCommerce leaders regularly to drive their business toward impactful change
Become part of a fast-growing international and diverse team
Work on a company-wide batch & streaming data processing framework that can be viewed as a software application as part of an IT-Analytics team of data engineers
Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform
Optimize existing code for performance, reliability, and scalability
Debug and troubleshoot issues and provide technical support as needed
Follow best practices and standards for coding, documentation, testing, and security
Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning
Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues
Research and evaluate new technologies and trends to improve existing software or create new solutions
At least 5 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust
Strong knowledge of cloud technology such as Microsoft Azure, or GCP
Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric
Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M
Experience in using data warehouse and data lake solutions such das SAP BW and Azure Data Lake
Experience with test driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python
Experience with SQL & No-SQL databases such as Azure SQL, or MongoDB
Experience with RESTful APIs and microservice architecture
Experience with GIT version control
Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming
Strong ability to write clean, maintainable and scalable code
Strong knowledge of Azure Event Hub, Apache Kafka and its ecosystem
Strong knowledge of stream processing frameworks such as Confluent KSQL, or Spark Structured Streaming
Strong knowledge of containerisation and orchestration technologies such as Docker, or Kubernetes
Experience with data serialization languages such as JSON, or YAML
Experience with infrastructure as code such as Terraform
Experience with DevOps tools such as Azure DevOps, or GitHub
Experience with agile methodologies, such as Scrum or Kanban (e.g. with tools such as Azure DevOps, or Jira/Confluence)
Academic degree in computer science, software engineering, machine learning engineering, or related field
Excellent communication, collaboration, and problem-solving skill
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.