Lead Data Engineer — Cloud Platform (Azure/Snowflake)

Parfois; Porto; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Innovation and continuous improvement

Career development

Job summary

PARFOIS Data Intelligence is searching for a Senior/Lead Data Engineer to drive the evolution of our Azure/Snowflake-based data platform. You will design scalable data pipelines and mentor the team, shaping data governance and best practices across a global retail organization.

You will lead architectural decisions, implement CI/CD for data components and collaborate with analytics, IT and business stakeholders to enable data‑driven decision making.

Qualifications

• Solid experience in Data Engineering, ideally 5+ years.
• Experience in technical leadership, architecture definition and team guidance.
• Strong knowledge of SQL and relational databases, particularly SQL Server.
• Solid experience developing ETL/ELT solutions and data pipelines.
• Experience with Cloud Data Platforms, preferably Microsoft Azure.
• Experience with Snowflake or other Cloud Data Warehouse platforms.
• Knowledge of Data Warehouse, Data Lake and Data Platform architectures.
• Experience with orchestration tools such as Airflow and/or Azure Data Factory.
• Experience with Git and CI/CD practices, ideally Azure DevOps.
• Ability to analyse complex problems, identify bottlenecks and optimise data processes.
• Ability to define technical standards and software engineering best practices.
• Strong communication skills and ability to engage with different stakeholders.

Responsibilities

• Act as the technical reference for the Data Engineering team, promoting best practices, technical excellence and knowledge sharing.
• Define and evolve the organization's data architecture, ensuring scalability, performance, security and maintainability.
• Design, develop and maintain robust ETL/ELT processes and data pipelines across the enterprise data platform.
• Develop scalable data products that support reporting, analytics and advanced data initiatives.
• Lead the evolution of our Cloud Data Platform, with a strong focus on Azure and Snowflake technologies.
• Integrate data from multiple sources, including databases, APIs, SaaS platforms, files and streaming technologies.
• Optimize existing processes and data pipelines, improving performance, reliability and operational efficiency.
• Implement monitoring, observability, logging, auditing and data quality frameworks.
• Define development standards, architecture guidelines, version control practices and engineering processes.
• Evaluate and define technical solutions, balancing performance, scalability, cost and maintainability.
• Lead the implementation and evolution of CI/CD practices and deployment processes for Data Engineering components.
• Collaborate closely with Data Analytics teams, business areas, IT and other stakeholders to support data‑driven decision‑making.
• Support the technical growth of team members through mentoring, coaching and technical guidance.
• Contribute to the long‑term Data Engineering roadmap, helping modernize the platform towards cloud‑native and scalable architectures.
• Promote Data Governance principles and ensure data quality, consistency and trustworthiness across the platform.

Skills

Data Engineering

Technical leadership

SQL

ETL/ELT

Azure

Snowflake

Data warehousing

Airflow

Azure Data Factory

Git

CI/CD

Communication

Problem solving

Tools

Airflow

Azure Data Factory

Git

Azure DevOps

Job description

PARFOIS Data Intelligence is searching for a Senior/Lead Data Engineer to drive the evolution of our Azure/Snowflake-based data platform. You will design scalable data pipelines and mentor the team, shaping data governance and best practices across a global retail organization.

You will lead architectural decisions, implement CI/CD for data components and collaborate with analytics, IT and business stakeholders to enable data‑driven decision making.