Data Engineering Lead: Build Data Platforms & Pipelines

Metyis AG; Porto; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Metyis AG is seeking a Data Engineering Lead to join our global Data and Analytics team in Porto. With 5-8 years of hands-on experience, you will shape data platforms, pipelines and analytics products for clients across industries.

You will lead a small team, drive the technical roadmap, and collaborate with data scientists and stakeholders to deliver scalable, robust solutions on Azure, AWS or GCP. Strong Python, Spark and data warehousing skills are essential.

Qualificações

• 5–8 years of experience in a similar role with experience in developing and deploying ETL solutions on Azure, GCP or AWS.
• Solid knowledge of data warehousing principles, concepts, and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
• Good understanding of cloud-based architecture, CI/CD workflows and data analytics environments.
• Experience in leading teams and communicating complex designs to stakeholders.

Responsabilidades

• 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.
• Lead project activities and will be responsible for the evaluation of business needs and objectives in collaboration with the project team and other stakeholders.

Conhecimentos

Data pipelines

ETL/ELT

Cloud platforms

Python

Spark

Data governance

Team leadership

RESTful APIs

CI/CD

SQL

Formação académica

Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research

Ferramentas

Azure

AWS

GCP

Airflow

Databricks

Kubernetes

PowerBI

Descrição da oferta de emprego

Metyis AG is seeking a Data Engineering Lead to join our global Data and Analytics team in Porto. With 5-8 years of hands-on experience, you will shape data platforms, pipelines and analytics products for clients across industries.

You will lead a small team, drive the technical roadmap, and collaborate with data scientists and stakeholders to deliver scalable, robust solutions on Azure, AWS or GCP. Strong Python, Spark and data warehousing skills are essential.