Data platform engineer

Job Title: Data Platform Engineer (Postgres, Permissions & Data Ingestion)
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 non-obvious insights, instantly.
Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a self-serve, chat-based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.
We're looking for a hands-on, detail-oriented Data Engineer to join our team and help empower businesses to unlock the full potential of their data.
About the Role
We're looking for a Data Platform Engineer with strong Python & Postgre SQL experience to help us build and evolve two core parts of our platform:

A secure, scalable permissions and access control layer
Backend features that automate and manage data ingestion pipelines within our Saa S This role is hands-on and pragmatic, sitting close to the database and core backend services. You'll work primarily with Postgre SQL and Python, building systems that need to be correct, understandable, and easy to operate.
What you'll be working on
Permissions & Access Control
Designing and maintaining Postgre SQL schemas to support roles, permissions, and attribute-based access control (ABAC) Implementing and evolving row-level security (RLS) policies in Postgre SQL Writing and optimising complex SQL queries, views, and functions with security and performance in mind Building and maintaining a Python backend service responsible for: Managing roles, permissions, and policies Validating and enforcing access rules Exposing clean APIs for the rest of the application Data Ingestion Automation
Building backend features that automate data ingestion workflows within the Saa S Implementing logic to configure, trigger, and monitor ingestion pipelines (e.g. API-based imports, scheduled syncs, file-based ingestion) Designing database models to track ingestion state, metadata, and failures Working with existing ingestion tools and services rather than reinventing core infrastructure Improving reliability, observability, and debuggability of ingestion processes Collaboration & Improvement
Working closely with product, frontend, and data teams to translate requirements into robust backend and database designs Reviewing and improving existing permission and ingestion patterns as the platform evolves Writing clear, maintainable code and documentation for security- and data-critical systems What we're looking for
Around 5 years of professional backend engineering experience Strong Postgre SQL knowledge, including: Schema design and migrations Indexing and query optimisation SQL functions and views Row-Level Security (RLS) and role-based permissions Strong SQL skills and a good understanding of how Postgres executes queries Solid experience building backend services in Python (e.g. Fast API or similar) Experience working with data ingestion or integration workflows (APIs, ETL-style processes, or data sync jobs) Familiarity with authentication and authorisation concepts (RBAC, ABAC, least-privilege access) Comfortable working in production systems where data correctness and security matter Nice to have
Experience designing permission systems or multi-tenant Saa S architectures Exposure to Postgres internals such as query planning. Experience working with JSONB and semi-structured data in Postgre SQL Familiarity with orchestration or ingestion tools (e.g. Airflow, Dagster, dbt, dlt, or similar) Experience operating backend services in a cloud environment (AWS, GCP, or similar) What this role is not
Not a Dev Ops or infrastructure-heavy role Not a pure data engineering role Not a security architect position Why join us
Work on core platform problems: fine-grained permissions and reliable data ingestion Strong ownership of systems that directly impact customers A pragmatic engineering culture that values clarity, correctness, and maintainability Opportunity to deepen expertise in Postgre SQL, backend architecture, and data-intensive systems What We Offer
Ground-floor opportunity to shape data-driven AI solutions at a fast-growing startup Work alongside experienced founders and a driven team Competitive compensation + early equity Remote-friendly, flexible work culture