Senior Database Developer / Data Platform Engineer

Velenosi&Meredith; Porto; Hybrid; EUR 50,000 - 65,000; Full time

Job summary

Velenosi&Meredith in Porto is seeking a Senior Database Developer / Data Platform Engineer to design and evolve the data foundation supporting an Autonomous Mobile Robot (AMR) platform.

This hands-on role focuses on database architecture, data modelling, real-time data, analytics, performance, and platform scalability. You will collaborate with Backend, Robotics, DevOps, and Product teams to build scalable data solutions and ensure data quality.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL engineering

PostgreSQL

Data modelling

CI/CD

Git

Docker

Linux

APIs

Backend languages

Tools

Git

Docker

Linux

Timescale/Timeseries DB

Job description

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.

LinkedIn: https://www.linkedin.com/in/dylan-デ-a78965140/