Data Platform Engineer (M/F/D) Lisboa

Data Platform Engineer (M/F/D)
Lisboa
Lisboa, Lisboa, Portugal

Data Platform | AI / ML | GCP | Direct Hiring

The company you will work for

Enhance situational awareness and
- making across land, sea, and air through advanced data processing and analysis.

Your New Mission

• Architect and implement scalable infrastructure for data and machine learning workloads, leveraging modern
  - native and
  - premises distributed systems.
• Build and maintain robust,
  - performance data pipelines to ingest, process, and store
  - scale datasets from diverse sources.
• Administer and
  - tune databases and data warehouses to ensure high availability, data integrity, and optimal performance.
• Consolidate data from various origins—APIs, internal systems, and
  - party providers—into unified,
  - ready datasets.
• Develop tools and interfaces that empower business users and analysts to independently access insights and interact with ML models.
• Contribute to the evolution and scaling of the Data & AI Platform, supporting new use cases and capabilities.
• Uphold data governance standards, ensuring compliance with privacy regulations and implementing robust security practices.
• Establish validation and monitoring mechanisms to maintain data accuracy, consistency, and reliability across systems.
• Partner with data scientists, analysts, and engineering teams to understand platform needs and deliver tailored infrastructure solutions.
• Implement observability tools and performance tuning strategies to ensure system reliability, scalability, and
  - efficiency.
• Maintain clear, comprehensive documentation of data workflows, APIs, schemas, and ML systems to support onboarding and collaboration.

What you need to be succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field (Mandatory).
• 5+ years of experience in data & ML platform engineering or a similar role.
• Proficiency in programming languages such as Python, Go, Java, or Rust.
• Strong knowledge of containerization technologies (e. G. Docker) and orchestration systems (e. G. Kubernetes) in production environments.
• Experience with SQL, database management systems (e. G. , My
  SQL, Postgre
  SQL, SQL Server), data modeling and schema design.
• Experience with cloud platforms and their data services, with a focus on Google Cloud.
• Familiarity with big data technologies (e. G. Spark), data warehousing solutions (e. G. , Redshift, Snowflake), data pipeline orchestration (e. G. Airflow), and database systems (SQL and no
  SQL).
• Design and manage MLOps pipelines to support model training, deployment and monitoring at scale
• Experience implementing observability stacks and logging pipelines (e. G. , Prometheus, Grafana, Loki, ELK).
• Experience with Ia
  C frameworks (e. G. Ansible, Terraform),
• Understanding of Dev
  Ops best practices and tools:
  
  GIT, CI/CD, telemetry and monitoring, etc.

What the company can offer you

• Meal Allowance
• Health Insurance
• Remote Work Model

Next Steps

If you are interested in this opportunity, please send us your updated CV. If you are looking for a different kind of professional challenge, feel free to contact us to discuss other career opportunities — always in complete confidentiality.