Machine Learning Engineer | Data Engineer

Posted 8 Days Ago
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Porto, PRT
In-Office
Mid level
Cloud • Information Technology • Software • Automation
The Role
Build and maintain data pipelines and production-grade ML engineering solutions on Azure Databricks. Implement MLOps/CD4ML practices, serve and productionize models, use Spark, Airflow, MLflow, Kafka and Delta Lake, version control with GitHub, and work in Agile teams (Jira).
Summary Generated by Built In
Company Description

Who is DBServices

We are positioned to help organizations in their digital transformation process by promoting innovation and optimizing legacy systems with our Digital Services. We are a spinoff of DBServer in Portugal, one of the largest and best software development companies in Brazil with more than 28 years of experience and 500+ projects successfully delivered.


What we DO

Digital Business Services. Advisory & Transformation Consulting in Cloud Migration, DevOps, QAOps, FinOps. Specialized in Test Automation, Tools and Test Frameworks (ATM, SAP), TDD, Unit Testing, Performance & Security Testing and Inspection.

DBLab is focused on MVPs, Prototyping and Proofs of Concept. Innovation is in our blood. Let us help you to focus on your Business while we Design+Build breakthrough and leading-edge solutions.

Agile Projects Custom Software Development. Software that meets the unique processes of your business, solves your specific problems, satisfies your exclusive needs and makes your workflows easier, faster, and more efficient.

Team Extension increases the capacity of your teams with the excellence level you would expect when hiring local resources. Our teams can work seamlessly as part of your teams or work as autonomous squads.

Job Description

Machine Learning Engineer | Data Engineer

Qualifications

  • Proven experience as MLE/DE

  • BSc in Computer Science or a similar field, with a very solid Spark and Python programming experience; Scala is a plus - for creating data pipelines that will fuel machine learning models in an Azure Databricks based environment

  • Proven experience with the engineering aspects of popular machine learning practices, libraries, and platforms - such as the ones that allow serving and productionasing machine learning models

  • Acquaintance with CD4ML and MLOps, software design patterns and RESTful APIs

  • Main tech stack: Databricks, Spark, Airflow, MLflow, MLeap, Kafka, Delta Lake and Azure ADLS (Parquet, Avro), Azure Devops.

  • Proficient in code versioning tools: Github

  • Strong English communicator.

  • Comfortable with an Agile methologies (Scrum, Kanban) using Jira Agile 

OUT OF SCOPE: Front-end development. Data Science, in the way that he will not research, apply, create and train statistical / math / machine learning models. - Apply advanced Machine Learning (e.g. NLP, CV, Mathematical Optimization).

Additional Information

  • Necessary to live in Portugal.

Skills Required

  • Proven experience as Machine Learning Engineer or Data Engineer
  • BSc in Computer Science or similar field
  • Very solid Spark programming experience
  • Very solid Python programming experience
  • Experience creating data pipelines in Azure Databricks
  • Proven experience with engineering aspects of ML practices, libraries, and platforms for serving/productionizing models
  • Acquaintance with CD4ML and MLOps
  • Familiarity with software design patterns and RESTful APIs
  • Experience with Databricks, Spark, Airflow, MLflow, MLeap, Kafka, Delta Lake, Azure ADLS (Parquet, Avro), Azure DevOps
  • Proficient in code versioning tools: GitHub
  • Strong English communication skills
  • Comfortable with Agile methodologies (Scrum, Kanban) using Jira Agile
  • Must live in Portugal
  • Scala programming (plus)
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The Company
125 Employees
Year Founded: 2020

What We Do

DBServices Portugal is a digital services and IT consulting company that helps organizations navigate digital transformation by improving software development lifecycles and engineering productivity. It delivers advisory and transformation consulting in cloud migration, DevOps, QAOps, and FinOps, alongside test automation, security testing, prototyping, and proof-of-concept work. Its mission is to design and build scalable, innovative solutions while modernizing legacy systems.

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