Data Engineering Lead (Fashion)
Lead data engineering at Metyis' HUGO BOSS Digital Campus in Porto: own the architecture and build ETL/ELT pipelines, data platforms, and analytics products on Azure (Data Factory, Databricks, Synapse) with Python, Spark, and SQL, while coaching a small team and managing client stakeholders.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5-8 years of experience in a similar role, developing and deploying ETL solutions on Azure, GCP or AWS
- Solid knowledge of data warehousing principles and best practices (ODS, data marts, data lakes, data vault, 3NF)
- Good understanding of digital development platforms and practices: cloud-based setups, advanced analytics, GitHub (or similar), CI/CD workflows
- Experience setting up automated testing frameworks including unit and integration tests
- Understanding of modern cloud-based architecture (Lambda & Kappa architectures)
- Advanced SQL, data transformation, and data profiling skills
- Experience building production ETL/ELT pipelines at scale
- Data governance experience
- 3-5 years hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services including streaming
- Customer-centric, passionate about delivering great digital products and services
- True engineering craftsmanship mindset
- Passionate about continuous improvement and working collaboratively
- Strong problem-solving skills and ability to convey designs and ideas to a wider audience
- People Management experience (team of at least 2 members)
- Experience in service consulting and stakeholder management
- Comfortable with ambiguity, highly autonomous
- Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or related technical discipline
Nice to have
- Experience with Airflow, Kubernetes, Great Expectations
- Basic knowledge of PowerBI
- Master's Degree
Full description
Metyis is growing! We are looking for a Data Engineering Lead with 5-8 years of experience to join our global Data and Analytics team at our Digital Campus in Porto.
Who We Are
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.
What We Offer
- Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
- Become the go‑to person for end-to-end data handling, management, and analytics processes.
- Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.
- Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
- Become part of a fast-growing international and diverse team.
What You Will Do
- Lead, influence & implement the technical roadmap of our clients, in light of overall technology and architecture roadmaps.
- Be responsible for the Architecture, making sure that technical and non-technical components work together in the product to deliver the customer needs.
- Lead and Develop the digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud, ideally with some Data Insights experience.
- Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards.
- Coach and enable other product team members to deliver best-in-class products.
- Deliver data platforms, data insights and with the collaboration of the data science team – data products, such as recommendation systems, data lakes/hubs, data insights and dashboards.