Data Platform Lead — Cloud & Analytics

Metyis AG; Porto; On-site; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Collaborative with Hugo Boss Digital_C

Senior stakeholder interaction

Opportunity to work on data platforms

Job summary

Metyis AG is seeking a Data Engineering Lead to join our Global Data and Analytics team at the Porto Digital Campus. You will drive end-to-end data pipelines, guide architectural decisions, and mentor a cross-functional team across data engineering, analytics and development.

You will work with Azure, Spark, Python and modern data tools to deliver data lakes, dashboards, and data-driven products for premium clients, collaborating closely with stakeholders and delivering measurable impact.

Qualifications

• 5-8 years in a senior data engineering/lead role.
• Experience ETL/ELT design on cloud platforms (Azure, AWS, GCP).
• Strong data warehousing concepts and modern architectures.
• Experience with cloud-based data pipelines and analytics.
• Proven people management and stakeholder communication skills.
• Autonomy in delivering end-to-end data solutions.

Responsibilities

• Lead the technical roadmap for client data platforms and analytics.
• Oversee architecture ensuring cohesive integration of components.
• Develop data pipelines and data products with the team.
• Collaborate with data scientists on lifecycle of data assets.
• Coach and grow a growing international team.
• Deliver scalable data platforms and dashboards with insights.

Skills

Data leadership

Stakeholder management

Problem solving

Autonomous

People management

Communication skills

Continuous improvement

Team collaboration

Education

Bachelor's or higher in Computer Science / related

Master's degree (a plus)

Tools

Azure Data Factory

Databricks

Synapse

Azure Functions

Airflow

Kubernetes

PowerBI

Job description

Metyis AG is seeking a Data Engineering Lead to join our Global Data and Analytics team at the Porto Digital Campus. You will drive end-to-end data pipelines, guide architectural decisions, and mentor a cross-functional team across data engineering, analytics and development.

You will work with Azure, Spark, Python and modern data tools to deliver data lakes, dashboards, and data-driven products for premium clients, collaborating closely with stakeholders and delivering measurable impact.