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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