Senior Data Platform Engineer (Python & Databricks)

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 a real production environment and understand how to build, maintain, and troubleshoot data workloads on the platform.

• Python Focused

You can design and implement reliable Python services and APIs, not simply scripts or notebooks.

• Data Oriented

You understand how data moves through a platform and can reason about ingestion, transformation, modeling, quality, performance, and downstream consumption.

• Proactive

You communicate before a problem becomes a surprise. When blocked, you raise the issue, explain its impact, and help identify a path forward.

• Comfortable with Complexity

You can navigate a mature platform with significant internal context. You know how to ask effective questions, document what you learn, and gradually expand your ownership.

• Collaborative

You enjoy working with other engineers, sharing knowledge, reviewing designs, and contributing to a healthy engineering culture.

What We Offer

• Generous paid-time-off policy.
• Paid sick leave.
• Paid parental leave.
• Opportunities to work on challenging products with experienced international teams.
• A collaborative environment that values technical quality and personal ownership.
• Regular team-building activities throughout the year.

Regime De Contratação

Pessoa Jurídica

Departamento

TI / Informática