Senior Data Platform Engineer: Python & Databricks (Hybrid)

Codelitt-; City of Edinburgh; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Generous paid-time-off

Paid sick leave

Paid parental leave

Opportunities with international teams

Collaborative engineering culture

Regular team-building activities

Job summary

Codelitt is hiring a Senior Data Platform Engineer in Edinburgh for a hybrid role. You will contribute to a financial data platform built on Databricks, working across Python services, APIs, data pipelines, and data models with an established Edinburgh team.

The ideal candidate has substantial Databricks experience and can own well-defined areas while expanding platform knowledge. You will help ensure scalability, reliability, and developer productivity.

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 attend the Edinburgh office regularly, typically one to two days per week.

Responsibilities

• 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.
• Design, build, and maintain production-grade Python applications and services.
• Develop well-structured APIs for accessing and managing data-platform capabilities.
• Write clean, tested, maintainable, and well-documented code.
• Participate in architectural and technical-design discussions.
• Review code and help maintain a high engineering standard across the team.
• Build and operate Databricks workloads, focusing on scalability and reliability.
• Collaborate with hybrid Edinburgh-based engineers and own assigned initiatives.

Skills

Python

Databricks

Data pipelines

Data modeling

APIs

SQL

Testing & QA

CI/CD

English communication

Independent work

Tools

Terraform

Kubernetes

Job description

Codelitt is hiring a Senior Data Platform Engineer in Edinburgh for a hybrid role. You will contribute to a financial data platform built on Databricks, working across Python services, APIs, data pipelines, and data models with an established Edinburgh team.

The ideal candidate has substantial Databricks experience and can own well-defined areas while expanding platform knowledge. You will help ensure scalability, reliability, and developer productivity.