Data Engineer II (Python & Cloud)
Lisbon
Digital – Product & Engineering /
Permanent /
Hybrid
Efficio is the world’s largest procurement consultancy, but we are transforming into a technology-first company. We are moving from "data-based" to "data-driven," building the intelligent backbone that will power our new GenAI and LLM products.
As a Data Engineer on the Product Team, you won't just be running reports. You will be building the code that ingests, cleans, and delivers high-quality data to our AI models. This is a role for an engineer who wants to move beyond "scripts" and learn how to build robust, scalable software platforms.
Our Engineering Culture: We operate with a DataOps mindset, focusing on automation, observability, and reliability. We don't just "hand off" code to DevOps; we own our pipelines. We invest significantly in your growth, offering sponsorship for AWS Certifications and mentorship from our Principal Architects to help you master Infrastructure-as-Code.
This role gives you the opportunity to:
- Collaborate on the design of scalable cloud infrastructure, utilizing Terraform to provision AWS resources (ECS, Lambda, S3) with a focus on resilience and reproducibility.
- Build high-performance, maintainable Python applications characterized by strict dependency management, comprehensive error handling, and high test coverage.
- Own the complete data journey: from ingestion to consumption; designing the API layers and backbones required to integrate GenAI into production.
What We Look for:
- 2–5 years of hands-on experience in Data Engineering or Backend Software Engineering.
- You are comfortable writing Python functions, handling JSON/API data, and using libraries like Pandas/PyArrow. You understand the difference between a "script" and a "software module".
- Experience with SQL and an understanding of how databases work (Primary Keys, Joins, Data Types).
- You prefer writing code over using drag-and-drop ETL tools.
- You are eager to learn DataOps practices (Docker, Git, CI/CD)
Nice to Have
- Experience with AWS (or equivalent cloud providers) and familiarity with IaC concepts (like Terraform) and a willingness to adopt these patterns is essential.
- Experience deploying LLMs or working with RAG architectures.
- Experience with FastAPI or building data-serving APIs.
- Background in SRE or DevOps.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
