Data & Ml Platform Engineer Lisboa

Data & Ml Platform Engineer
Lisboa
Lisboa, Lisboa, Portugal

Are you ready to revolutionise the world with TEKEVER?

Join us, the European leader in unmanned technology, where
- edge advancements meet unparalleled innovation. We offer a unique
-
-
- service solution that provides
- time intelligence, enhancing maritime safety and saving lives. TEKEVER is setting new standards in intelligence services, data and AI technologies.

Become part of a dynamic team transforming maritime surveillance and making a significant impact on global safety.

At TEKEVER, our mission is to provide limitless support through
- oriented
- changers, delivering the right information at the right time to facilitate critical decisions.

If you’re passionate about technology and eager to shape the future, TEKEVER is the place for you!

Job Overview:

As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our
- driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering.

What will be your responsibilities:

• Data and ML infrastructure:
  
  Design and implement scalable data and ML infrastructure using modern cloud and
  - prem distributed technologies and frameworks.
  
  
• Data Pipeline Development:
  
  Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources.
  
  
• Database Management:
  
  Manage and optimize databases and data warehouses to ensure data integrity, performance and availability.
  
  
• Data Integration:
  
  Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis.
  
  
• Self-Service Tools:
  
  Develop
  - service tools that enable stakeholders to extract insights from Data and Machine Learning models.
  
  
• Data & AI Platform development & expansion:
  
  support the expansion of our Data & AI Platform.
  
  
• Security & Compliance:
  
  Ensure data security, privacy, and compliance.
  
  
• Data Quality Assurance:
  
  Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
  
  
• Collaboration:
  
  Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support.
  
  
• Monitoring & Performance Optimization:
  
  Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and
  - effectiveness.
  
  
• Documentation:
  
  Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption (e. G. data pipelines, database schemas, Machine Learning systems, etc. )
  
  

Profile and requirements:

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Experience:

3+ years of experience in data & ML platform engineering or a similar role.

Analytical Skills:

Strong analytical and
- solving skills with a focus on delivering scalable and efficient data solutions.

Communication:

Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and
- technical stakeholders.

Attention to Detail:

High attention to detail and a commitment to ensuring data quality and accuracy.

Adaptability:

Ability to work in a
- paced, dynamic environment and manage multiple priorities simultaneously.

• Technical Skills:
  
  
• 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 (e. G. , AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred.
• 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.
• 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 we have to offer you:

• An excellent work environment and an opportunity to make a difference;
  
  
• Salary Compatible with the level of proven experience.

Do you want to know more about us ?

Visit our Linked
In page at