Senior Data Engineer Santarém

Senior Data Engineer
Santarém
Santarém, Santarém District, Portugal

Job Title: Senior Data Engineer

Location: Remote

Type: Full-time

About Us

Oraion is your single source of truth for enterprise data. Oraion uses agentic AI to turn structured and unstructured enterprise data into
- obvious insights, instantly.

Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a
- serve,
- based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.

We’re looking for a
- on,
- oriented Senior Data Engineer to join our team and help empower businesses to unlock the full potential of their data.

About the Role

As a Senior Data Engineer, you will leverage your in depth knowledge of Rust, orchestration (we use dagster) data pipelines  dlt, dbt) in AWS, Postgres-Aurora and Apache Iceberg to build an efficient and performant data backend for our
- tenant SAAS application. At all times you will have a product mindset, finding ways to automate with AI agents and recommend new features for our product.

Responsibilities

• Build and maintain a scalable data backend for our enterprise data platform
• Design data storage solutions that are efficient, secure, and scalable
• Collaborate with backend and frontend teams to integrate data solutions
• Optimize data processing workflows for performance and reliability
• Develop and maintain ETL processes using modern data tools (dagster, dlt, dbt)
• Document data architecture and processing workflows
• Build performant, efficient apis
• Work closely with stakeholders to understand data needs and translate them into technical solutions

Requirements

• 5+ years of experience as a Data Engineer-Backend Developer in a data intensive environment or in a similar role
• Strong, expert level knowledge of Apache Iceberg
• Experience with
  - based access control (ABAC) permissions to ensure data security across enterprise environments
• Experience working with teams in a collaborative environment
• Proficiency with data processing tools and frameworks (e. g. , Rust is key)
• Strong knowledge of data warehousing concepts and best practices
• Experience with
  - based data solutions (AWS)
• Solid understanding of data modeling, ETL pipelines, and data integrity
• Excellent communication skills and team collaboration abilities
• Experience with graph databases or implementing
  - based data structures
• Previous work with LLM-based applications or AI agent systems
• Experience with
  - time data processing or streaming architectures
• Experience of ML Ops & Data Ops
• Startup experience is a plus

What We Offer

• Ground-floor opportunity to shape
  - driven AI solutions at a
  - growing startup
• Work alongside experienced founders and a driven team
• Competitive compensation + early equity
• Remote-friendly, flexible work culture