Staff Data Engineer

🔵 Reach IT - Nearshore Solution!

Our nearshore expertise sets us apart. We specialize in on-demand, scalable solutions and operational excellence. By bridging the talent gap, we deliver results that drive your business forward.

We’re seeking a Staff Data Engineer- Artificial Intelligence (Portugal)🛡Why This Role?

• High ownership – You’ll be responsible for designing, maintaining, and evolving our data platform.
• Be the expert – You’ll shape how data is structured, transformed, and optimized for ML models.
• Direct impact – Your work will power AI-driven sales recommendations for enterprise users.

Responsibilities:

• Own and maintain scalable data pipelines using Python, SQL, Airflow, and Spark (Databricks).
• Develop data ingestion strategies using APIs, Airbyte, and web scraping.
• Transform and clean data for ML models using Databricks (or Spark-based systems).
• Optimize storage layers using a Medallion architecture (Bronze/Silver/Gold) approach.
• Ensure data quality, governance, and observability across all pipelines.
• Collaborate with ML, AI, and backend teams to integrate data into AI models.
• Continuously refine and improve how data is structured, stored, and served.

What We’re Looking For ?

• 5+ years of experience in data engineering with strong Python & SQL expertise.
• Hands-on experience with Airflow, ETL pipelines, and Spark (Databricks preferred).
• Experience integrating structured & unstructured data from APIs, CRMs, and web sources.
• Ability to own and scale data infrastructure in a fast-growing AI-driven company.
• Strong problem-solving skills and a desire to improve how data is structured for ML.

Bonus Points:

• Exposure to Golang for API development (not required, but helpful).
• Experience with MLOps (feature stores, model data versioning, SageMaker, ClearML).
• Familiarity with Terraform, Kubernetes, or data pipeline automation.
• Experience in database design to support customer-facing access patterns