Data Engineer

Job Description

As a Data Engineer, you will play a key role in our company-wide Data & AI transformation. You will contribute to the design, implementation, and scaling of our new modern data platform, enabling analytics, BI, and future AI use cases across the organization.

You have:

• 3+ years of experience in data engineering.
• Hands-on experience with modern data stack components.
• Strong SQL skills and experience with data modeling.
• Familiarity with Python for data processing and pipeline orchestration.
• Knowledge of cloud data ecosystems (Azure, AWS, or GCP), warehousing, and distributed data processing.
• Good understanding of CI/CD, version control, and environment management for data workflows.
• Experience working with BI teams and enabling analytics use cases.
• A mindset focused on quality, reusability, and long-term maintainability of data assets.

Local Benefits

• Permanent contract
• Fixed and variable salary
• Coverflex card, allowing you to use your meal allowance (€10.20/worked day) and access a wide range of flexible benefits
• Transport reimbursement up to €40/month
• Private health insurance (AdvanceCare)
• Flexible working hours, Monday to Friday
• 60% remote work per year
• Modern open-space office in Sete Rios, Lisbon
• Career development opportunities in an international environment

LI - HYBRID

LI - MANUELA

Working alongside Data, BI, and business stakeholders, you will:

• Build and maintain reliable data pipelines using Databricks.
• Contribute to the architecture and modeling of our enterprise data foundation.
• Develop high-quality, well-tested transformation logic, ensuring consistency and reusability.
• Enable company-wide BI by delivering trusted, documented, and performant datasets to analysts and product teams.
• Optimize data workflows for scale, reliability, and cost efficiency.
• Help define engineering standards, best practices, and documentation across the data platform.
• Support onboarding and evangelization of modern data practices across the organization.

You are:

• Passionate about modern data engineering and motivated to help shape a scalable data platform.
• Curious and eager to learn new tools & technologies.
• Comfortable collaborating with cross-functional teams: BI developers, data analysts, IT teams, and business experts.
• Proactive, autonomous, and able to propose improvements rather than just implement requirements.

HR Policy

• Unleash your potential with our Ayming Academy and Ayming Digital Academy!
• Grow your career with our tailored support programs, My Professional Journey or MoveWithUS.
• Work your way: enjoy flexibility, inspiring and friendly spaces, with a hybrid work model.
• Connect and celebrate through events and gatherings all year round (Webinars, “Coffee With” etc..)