AI & Data Engineer
Builds ETL/ELT data pipelines and develops/deploying machine-learning solutions on cloud platforms for a Portuguese tech consultancy, hybrid from Porto or Lisboa. Core stack: Python, Azure/AWS/GCP, Spark/Databricks/Kafka, SQL/NoSQL, and MLOps tooling like MLflow, Kubeflow and CI/CD.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years of experience as a Data Engineer or AI Engineer
- Strong experience with cloud-based data platforms (Azure, AWS or GCP)
- Solid knowledge of distributed data processing (Spark, Databricks, Kafka)
- Experience building ETL/ELT pipelines and automating data workflows
- Hands-on experience developing and deploying machine learning solutions
- Good understanding of MLOps practices and tools (MLflow, Kubeflow, CI/CD, containerization)
- Experience with Python for data engineering and AI model development
- Knowledge of relational and non-relational databases (SQL, NoSQL)
- Familiarity with data governance, data quality and structured/unstructured data best practices
- Experience with APIs, REST and microservices integration for data & AI products
- Strong English skills (B2/C1) and comfort working in international teams
Full description
SYVANTECH aims to redefine standards, establishing itself as a business partner recognized for adding value and making it easy to work with.
Our objectives are always aligned with our Clients' priorities. More than a technology consultancy company, we aim to be a business partner. Promoting simple interactions and processes, our solutions are delivered with quality, to the extent required, and personalized.
We are looking for an experienced AI & Data Engineer (M/F) to join our teams in Portugal (Porto or Lisboa), in a flexible hybrid model.
Here’s what we’re looking for:
- 4+ years of experience as a Data Engineer or AI Engineer;
- Strong experience with cloud-based data platforms (Azure, AWS or GCP);
- Solid knowledge of distributed data processing (Spark, Databricks, Kafka, etc.);
- Experience building ETL/ELT pipelines and automating data workflows;
- Hands‑on experience developing and deploying machine learning solutions;
- Good understanding of MLOps practices and tools (MLflow, Kubeflow, CI/CD, containerization);
- Experience with Python for data engineering and AI model development;
- Knowledge of relational and non-relational databases (SQL, NoSQL);
- Familiarity with data governance, data quality and best practices around structured/unstructured data;
- Experience with APIs, REST and microservices integration for data & AI products;
- Strong English skills (B2/C1) and comfort working in international teams.
Why you’ll enjoy working with us:
- You’ll join a growing but tight‑knit team, ready to support you from day one;
- You’ll have opportunities to grow your career and expand your technical expertise;
- You’ll work on exciting international data & AI projects with high impact;
Why we’ll enjoy working with you:
- You’re passionate about building scalable, high‑performance data and AI solutions;
- You think critically and solve problems with a structured and strategic mindset;
- You bring your best every day and consistently go above and beyond;
You can also apply through our website (syvantech.com).