2 months ago
Porto, PortugalStaff+
Responsibilities
- Lead and implement client technical roadmaps in alignment with broader technology and architecture strategies.
- Own solution architecture and ensure technical and non-technical components work together to meet customer needs.
- Lead development and operations using Python, Spark, RESTful APIs, and Microsoft Azure Cloud.
- Deliver scalable data platforms, data insights, dashboards, data lakes and hubs, recommendation systems, and other data products.
- Build and manage production ETL/ELT pipelines, automated services, and APIs across the data lifecycle.
- Collaborate with data scientists on data acquisition, exploration, cleaning, integration, analysis, interpretation, and visualization.
- Lead project activities, evaluate business needs and objectives, and work with project teams and stakeholders.
- Coach and enable product team members while promoting engineering excellence, standards, frameworks, and continuous improvement.
- Manage and develop a team of at least two people.
Requirements
- 5–8 years of experience in a similar data engineering role.
- Experience developing and deploying ETL solutions on Azure, GCP, or AWS.
- Strong knowledge of data warehousing principles, including ODS, data marts, data lakes, data vault, and 3NF.
- Three to five years of hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, App Logic, and other data analytics services, including streaming.
- Advanced SQL, data transformation, and data profiling skills.
- Experience building production ETL/ELT pipelines at scale and implementing data governance.
- Understanding of cloud-based architectures, advanced analytics environments, digital development practices, GitHub or similar tools, and CI/CD workflows.
- Experience setting up automated testing frameworks, including unit and integration tests.
- Experience with Airflow, Kubernetes, and Great Expectations is preferred.
- Programming experience with Python and PySpark, plus scripting languages such as Bash.
- Basic Power BI knowledge is preferred.
- People management experience involving at least two team members.
- Experience in service consulting and stakeholder management.
- Bachelor’s degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business, or another related technical discipline; a master’s degree is a plus.
- Strong problem-solving, communication, collaboration, autonomy, customer focus, and continuous-improvement skills.
Benefits
- Work with senior client stakeholders on impactful business transformation initiatives.
- Join a fast-growing, international, and diverse team at the HUGO BOSS Digital Campus in Porto.
- Help build data architecture, analytics, eCommerce, and technology capabilities for a global premium fashion platform.
- Work in an environment that values diversity, equity, inclusion, belonging, curiosity, and collaboration.
Tech Stack
Categories
Data Engineering
About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.