Senior Database Developer / Data Platform Engineer

Location: Tagus Park, Portugal

Work Model: Hybrid – 3 days on-site

Contract: Full-time

Salary: €50,000–€65,000 gross/year × 14 salaries

Relocation: No relocation support provided

About the Role

We are looking for a Senior Database Developer / Data Platform Engineer to design and evolve the data foundation supporting an advanced Autonomous Mobile Robot (AMR) platform.

This is a hands‑on engineering role focused on database architecture, data modelling, operational data, analytics, performance, and platform scalability.

What You'll Do

- Design and evolve data models for orders, robot states, missions, routes, events, telemetry, configuration, and execution history

- Build reliable, scalable database structures for real-time and analytical use cases

- Optimize queries, indexing, partitioning, migrations, and data lifecycle management

- Support backend services, algorithms, dashboards, analytics, and reporting

- Develop analytics‑ready datasets and KPI structures

- Ensure data quality, consistency, auditability, and traceability

- Work with Backend, Algorithm, Robotics, Frontend, DevOps, QA, and Product teams

- Support database reliability, monitoring, backups, and production performance

Requirements

- Strong SQL and database engineering experience

- Excellent knowledge of relational database design, ideally PostgreSQL

- Strong understanding of schema design, indexing, transactions, constraints, migrations, and query optimization

- Experience designing data models for operational and production systems

- Understanding of real-time/near-real-time data and concurrency

- Experience with data quality, integrity, auditability, and historical data

- Strong software engineering practices: Git, testing, CI/CD

- Experience with APIs and backend integration

- Docker/Linux experience

- Python, Rust, or another backend language is a strong advantage

Nice to Have

- AMR/AGV, robotics, logistics, warehouse automation, or industrial software experience

- TimescaleDB, InfluxDB, Redis, Kafka, NATS, MQTT, or event‑driven architectures

- Data warehouses, BI, analytics platforms, or semantic layers

- Kubernetes/cloud‑native environments

- Multi‑tenant or multi‑site systems

- Simulation, digital twins, replay, or operational benchmarking

Important

This is not a pure DBA or reporting role.

The ideal candidate must be able to understand how database architecture impacts real‑time execution, system reliability, analytics, product performance, and long‑term scalability.

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