TL;DR

Data Engineering Lead (AI/Data): Leading and developing data pipelines, platforms, and analytics products with an accent on cloud-based ETL solutions, data warehousing, and architecture. Focus on designing scalable data products, ensuring technical excellence, and collaborating with data science teams to deliver impactful data insights.

Location: Porto, Portugal (onsite)

Company

%hirify_global% is a global and forward-thinking firm delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services across various industries.

What you will do

Lead and implement technical roadmaps and architecture for client data solutions.
Develop and operate data pipelines and analytics products using Python, Spark, RESTful APIs, and Microsoft Azure Cloud.
Ensure technical excellence and adherence to best practices and standards.
Coach and enable team members to deliver high-quality products.
Collaborate with data scientists to deliver data products like recommendation systems, data lakes, and dashboards.
Lead project activities and evaluate business needs with stakeholders.

Requirements

Location: Must be based in Porto, Portugal (onsite)
5–8 years experience in similar roles with ETL development on Azure, GCP, or AWS.
Strong knowledge of data warehousing concepts and cloud architectures.
Hands-on experience with Azure Data Factory, Databricks, Synapse, and related services.
Proficiency in Python (PySpark), SQL, and data transformation.
People management experience with at least 2 team members.
Good stakeholder management and consulting skills.
Comfortable with ambiguity and autonomous working style.
Bachelor's degree in relevant technical disciplines; Master's is a plus.

Nice to have

Experience with Airflow, Kubernetes, Great Expectations.
Basic knowledge of PowerBI.

Culture & Benefits

Collaborative and diverse international team.
Focus on continuous improvement and engineering craftsmanship.
Supportive environment encouraging creativity and personal growth.