Data Engineer

Categoria: IT
Tipo: Full-time
Localização: Lisboa
Regime: Misto

Your opportunity with a higher purpose

Become part of a team to build the next generation digital universal bank with a focus on sustainability from scratch. Our client is a dynamic start-up aiming to access to and sustainable financial services, using technology and collaboration among community members to help them achieve their individual financial objectives over the lifecycle and around the clock, while giving their money a higher purpose dimension.

You are a digital native, a purpose-driven individual and a mindful sustainable investment professional seeking to join a passionate team to create long-lasting value for people and planet?

We are looking for a Data Engineer to join Data & ML Platform team. The team is responsible for efficient data synchronisation, structuring and processing. Our team combines the frontend and backend services and integrations to provide a data rich platform. Our APIs power most services in the radicant eco-system and machine learning components as well as provide the technical foundation for our growth.

The role:

  • Build batch and event-driven data pipelines that empower data scientists’ exploratory work as well as the training and deployment of machine learning models
  • Build infrastructure and components following best practices such as CI/CD and infrastructure as code
  • Work on GCP leveraging managed services and open source whenever suitable
  • Move and process large amounts of data with the help of tools like Dask, Spark, BigQuery, Batch, Google Dataflow, Google Cloud Data Fusion and others
  • Understand technologies to identify the best solutions
  • Act as an expert technical resource in cross-functional interactions with Data Scientists, Researchers, and the Software Engineers

What is needed to succeed:

  • 5+ years of experience developing, monitoring and debugging production systems
  • Experience running containerised workloads
  • Experience or willingness to work with Python, Java and JavaScript
  • Good architectural understanding of event driven architectures, workflow engines, database and data warehouse systems to help us scale along with our growing user base
  • Proven expertise with web-based, service-oriented applications architectures and designs (REST, HTTP-Stack)
  • Follow common practices: version control (git), issue tracking, unit testing and agile development processes
  • Have a pragmatic can-do attitude and delivery-focused mindset: you can handle trade-offs between short-term goals and long-term tech debt
  • Are happy both executing on your expertise as well as learning new skills


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