Data Engineer

Ayming Group; Lisboa; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Permanent contract

Fixed and variable salary

Coverflex card for meal allowance

Transport reimbursement up to €40/month

Private health insurance

Flexible working hours

Career development opportunities

Resumo da oferta

Ayming Group is seeking a Senior Data Engineer to play a vital role in our Data & AI transformation. You will design and implement a modern data platform, enabling analytics, BI, and future AI use cases.

The role involves building reliable data pipelines, developing transformation logic, and collaborating with cross-functional teams to ensure high-quality data delivery. Local benefits include health insurance, transport reimbursement, and flexible working hours.

Qualificações

• 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 ecosystems, warehousing, and distributed processing.
• Good understanding of CI/CD, version control, and environment management.

Responsabilidades

• Build and maintain reliable data pipelines using various tools.
• Contribute to the architecture and modeling of enterprise data.
• Develop high-quality transformation logic for reusability.
• Deliver trusted datasets to analysts and product teams.
• Optimize data workflows for scale and cost efficiency.
• Define engineering standards and document across the data platform.

Conhecimentos

Data engineering

SQL

Python

Cloud data ecosystems (Azure, AWS, GCP)

Data modeling

CI/CD practices

Data pipeline orchestration

Ferramentas

Databricks

dbt

Airbyte

Airflow

Descrição da oferta de emprego

Job Description

As a Senior 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.

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

• Build and maintain reliable data pipelines using Databricks, dbt, Airbyte and Airflow.
• 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.

Qualifications

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.

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.

Additional Information

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