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Senior Data Platform Engineer (Python & Databricks)

PR&M GESTÃO E DESENVOLVIMENTO

HíbridoBelo Horizonte, MG

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A empresa PR&M GESTÃO E DESENVOLVIMENTO está contratando para o cargo de Senior Data Platform Engineer (Python & Databricks) em: Belo Horizonte, MG | LinkedIn

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Senior Data Platform Engineer (Python & Databricks)

PR&M GESTÃO E DESENVOLVIMENTO

Belo Horizonte, MG

Senior Data Platform Engineer (Python & Databricks)

PR&M GESTÃO E DESENVOLVIMENTO

Belo Horizonte, MG

Há 1 mês

74 candidaturas

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We are looking for a Senior Data Platform Engineer to join a high-impact engagement with one of our partners, a global leader in wealth-management technology.

This is a remote position from Latam.

You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data.

This is primarily a backend and data-platform position. You will work across Python services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in Edinburgh.

The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building a broader understanding of the platform.

We process our payment in US dollars, however you can receive it in your local currency.

What You’ll Do

Data Platform Development

  • Build and maintain components of a large-scale financial data platform.
  • Develop reliable data pipelines for ingesting, transforming, and delivering financial data.
  • Design data models that support enterprise reporting, analytics, and downstream integrations.
  • Improve the performance, reliability, maintainability, and observability of existing data workflows.
  • Troubleshoot complex issues across data-processing and application layers.

Python and API Development

  • Design, build, and maintain production-grade applications and services using Python.
  • Develop well-structured APIs for accessing and managing data-platform capabilities.
  • Write clean, testable, maintainable, and well-documented code.
  • Participate in architectural and technical-design discussions.
  • Review code and help maintain a high engineering standard across the team.

Databricks Engineering

  • Build and operate production workloads using Databricks.
  • Help improve the organization and execution of Databricks-based data workflows.
  • Work with large datasets and complex transformation requirements.
  • Apply Databricks best practices to improve scalability, reliability, and developer productivity.

Collaboration and Ownership

  • Work directly with engineers and technical leaders from both Codelitt and our partner.
  • Collaborate with a hybrid engineering team based in Edinburgh.
  • Break complex requirements into clear and manageable technical tasks.
  • Communicate progress, risks, dependencies, and blockers proactively.
  • Take ownership of assigned initiatives from technical discovery through delivery.
  • Contribute to documentation and internal knowledge sharing.

Required Qualifications

  • Five or more years of professional software-engineering experience.
  • Strong professional experience developing production applications with Python.
  • Hands-on experience building production workloads with Databricks.
  • Experience designing and maintaining data pipelines.
  • Strong understanding of data modeling and data-processing concepts.
  • Experience designing or consuming APIs in distributed systems.
  • Experience working with relational databases and SQL.
  • Strong automated-testing and software-quality practices.
  • Experience working with version control, code review, and CI/CD workflows.
  • Ability to understand and contribute to an established, complex codebase.
  • Strong written and verbal English communication skills.
  • Ability to work independently while collaborating closely with a broader engineering team.
  • Ability to attend the Edinburgh office regularly, typically one to two days per week.

Preferred Qualifications

  • Experience building data platforms for financial-services or other data-intensive industries.
  • Experience with cloud-based data architectures.
  • Familiarity with infrastructure-as-code tools such as Terraform.
  • Experience improving the observability and operational reliability of data pipelines.
  • Familiarity with modern data governance, access-control, and data-quality practices.
  • Experience working in an enterprise environment with strict security and compliance requirements.
  • Front-end experience with React or another modern JavaScript framework.

Front-end development and infrastructure work may occasionally be required, but they are not the primary focus of this position. Deep Kubernetes expertise is not required.

Who You Are

  • Databricks Experienced

You have used Databricks in