MLOps Engineer: Build Scalable Data Pipelines & ML

Cleo

Portugal

Presencial

EUR 45 000 - 65 000

Tempo integral

14 dias+

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Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Competitive compensation package
Private medical insurance
Generous annual leave
One-month paid sabbatical after four years
OpenAI subscription
Online mental health support

Resumo da oferta

Cleo, a fast-growing tech startup in Portugal, is seeking a skilled data engineer who is passionate about enhancing financial health through data solutions. The role involves supporting product teams to achieve their objectives while implementing effective data engineering practices.

Successful candidates will possess strong Python skills, experience with distributed processing, and the ability to collaborate effectively across teams. Additional benefits include remote work options, competitive compensation, and generous leave policies.

Qualificações

  • Solid experience with data engineering language, ideally Python.
  • Knowledge of distributed processing frameworks such as PySpark or Flink.
  • Understanding of value and product thinking.

Responsabilidades

  • Support product teams in achieving OKRs while implementing best practices.
  • Act as a bridge between product and Data Platform teams.
  • Contribute to the continuous improvement of internal tooling and infrastructure.

Conhecimentos

Data system design
Python programming
Distributed processing frameworks
Containerization with Docker/Kubernetes
Infrastructure as Code (Terraform)
Software engineering best practices
Knowledge of storage types (OLTP, OLAP, S3)
Cross-functional collaboration

Descrição da oferta de emprego

Cleo, a fast-growing tech startup in Portugal, is seeking a skilled data engineer who is passionate about enhancing financial health through data solutions. The role involves supporting product teams to achieve their objectives while implementing effective data engineering practices.

Successful candidates will possess strong Python skills, experience with distributed processing, and the ability to collaborate effectively across teams. Additional benefits include remote work options, competitive compensation, and generous leave policies.

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