Data Engineer

We want to do things differently, focusing on what truly matters. We return to our roots with a sustainable corporate strategy at our core. Work-life balance, beginner’s mind, and community involvement are our identity and our starting point for this journey. Data Engineer - Is that you? Location: Lisbon (Hybrid) Experience Level: Senior Language: English (minimum B2) Key Responsibilities - Design, build, and maintain scalable data pipelines and data products that support AI, analytics, reporting, and business operations. - Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple enterprise sources into cloud-based platforms. - Implement data quality frameworks, monitoring, lineage, and governance controls to ensure reliable and trusted datasets. - Collaborate with AI Engineers, Data Scientists, business stakeholders, and IT teams to translate requirements into efficient data solutions. - Build and support integrations between cloud platforms, APIs, operational systems, and analytical environments. - Create and maintain data models, analytical layers, and reusable datasets that enable self-service analytics and AI initiatives. - Continuously improve data platform performance, scalability, security, and operational efficiency through automation and best practices. Required Skills & Experience - 5+ years of experience as a Data Engineer or in a similar data-focused role. - Strong expertise in Python and SQL for data processing, transformation, and optimization. - Proven experience designing and implementing ETL/ELT pipelines in enterprise environments. - Hands-on experience with cloud-based data engineering, preferably on Microsoft Azure, with exposure to AWS considered valuable. - Experience working with Snowflake or similar modern cloud data warehouse technologies. - Strong knowledge of data modelling, warehousing concepts, and data architecture best practices. - Experience with data orchestration, scheduling, and workflow management solutions. - Understanding of data governance, metadata management, security, access control, and compliance requirements. - Experience implementing data quality, observability, and monitoring practices across production environments. - Ability to collaborate effectively with cross-functional teams, including Data Science, AI Engineering, Product, and Business stakeholders. - Familiarity with REST APIs, data integrations, and enterprise system connectivity patterns. - Comfortable using GenAI productivity tools such as GitHub Copilot, Cursor, or similar solutions. Nice to Have - Experience with Databricks, Apache Spark, AWS Glue, or similar large-scale data processing technologies. - Knowledge of Apache Iceberg, Delta Lake, or modern table formats for data lake architectures. - Experience working with logistics, transportation, parcel delivery, customer, sales, or operational datasets. - Exposure to AI and GenAI data preparation, feature engineering, vector databases, or retrieval-augmented generation (RAG) pipelines. - Experience with infrastructure automation, CI/CD pipelines, and DataOps practices. - Knowledge of containerization technologies such as Docker and cloud-native deployment patterns. - Experience in international or multi-country enterprise environments. - Relevant cloud or data certifications from Microsoft, AWS, Snowflake, or Databricks. Data Engineer — Is that us? - Horizontal structure. Everyone has a voice and is heard. We are looking for ambitious people who want to help us achieve what has not yet been done. - Personalized support. We value close and regular follow-up. We are a team from day one. - Comprehensive and flexible benefits package. Health insurance, life insurance, discounts and perks, telecommunications plan, and much more. - Investment in learning and career development. Certified training, online learning platforms, Pearson VUE exam center… we invest in you! - Sustainability and community involvement. We want meaningful work and to invest in an inclusive consulting project—and we need your help to make it happen. Ready? team.it, back to basics! At Team IT, we stand for equality and value diversity. We create a safe and inclusive environment where opportunities are equal for everyone. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications from candidates with the right skills for the role are welcome.