Match Profiler is an Information Systems consultant who has been working in the national and international market since 1999. We have multidisciplinary skills and IT know-how that allow us to contribute, optimize and progress with our clients. We are currently recruiting, for integration in our internal team/client, professionals with the following profile:
Junior Data & AI Engineer - Hybrid (Lisbon)
About the Role
We are looking for a Junior Data & AI Engineer with strong analytical thinking and a solid academic background to join our technology team. You will work on building data pipelines, integrating AI/LLM models, creating data visualization dashboards, and optimizing information flows to support decision-making and intelligent products.
What You Will Do
- Develop and maintain scalable and reliable data pipelines (ETL/ELT).
- Create and optimize interactive reports and dashboards in Power BI to provide business metrics to teams.
- Implement and integrate Artificial Intelligence and Machine Learning models (including LLMs and RAG architectures) into production environments.
- Process, clean, and structure data from various sources, including databases, APIs, and data lakes.
- Collaborate with Engineering and Product teams to translate business needs into data-driven solutions.
What We Are Looking For
- Education: Bachelor's or Master's degree in Computer Engineering, Data Science, Applied Mathematics, Physics, or a related field (preference for graduates from leading institutions such as Técnico, FEUP, FCT, University of Coimbra, University of Minho, Nova IMS, or equivalent international institutions).
- Experience: Approximately 1 year of hands-on experience in Data Engineering, Data Science, or AI development.
Technical Skills:
- Proficiency in Python and SQL.
- Experience with Power BI, including data modelling, DAX, and dashboard development.
- Familiarity with Data/AI libraries (e.g., Pandas, PyTorch, TensorFlow, Scikit-learn) and modern AI frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI/Anthropic APIs).
- Knowledge of Data Engineering tools (e.g., PostgreSQL, Spark, Airflow) or Cloud services (AWS, GCP, or Azure).
- Good coding practices, including version control (Git), testing, and basic knowledge of Docker.
Soft Skills: Strong problem-solving skills, autonomy, curiosity about the latest developments in AI, and the ability to translate data into clear, meaningful visual insights.
What we can offer:
- Personalized support from your team
- Your manager will take into consideration your motivations and suggestions
- Victories will be celebrated together
- Your HR and Support Teams will always be available to help
- Constant feedback on your work
- A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc)
- And, of course, many gatherings and social events