Senior Data Platform Engineer - Python & Databricks (Edinburgh)

Codelitt

City of Edinburgh

Hybrid

GBP 70,000 - 110,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Generous paid-time-off

Paid sick leave

Paid parental leave

Opportunities to work on challenging,跨

Collaborative engineering culture

Job summary

Codelitt in Edinburgh is seeking a Senior Data Platform Engineer to join a high-impact engagement with a global wealth-management technology partner. You will design and evolve a financial data platform built on Databricks, handling ingestion, transformation, modeling, and delivery of complex data.

This is a hybrid role; you will work with Python services, APIs, and data pipelines, collaborating with an energetic Edinburgh team.

Qualifications

Five or more years of professional software-engineering experience.
A strong track record delivering production applications using Python.
Hands-on experience building production workloads with Databricks.
Experience designing and maintaining data pipelines.
Strong understanding of data modelling and data-processing concepts.
Experience designing or consuming APIs in distributed systems.
Experience with relational databases and SQL.
Strong automated-testing and software-quality practices.
Experience 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 with a broader engineering team.
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 to support enterprise reporting, analytics, and downstream integrations.
Improve performance, reliability, maintainability, and observability of data workflows.
Troubleshoot complex issues across data-processing and application layers.
Design, build, and maintain production-grade Python services and APIs.
Write clean, well-documented code and participate in architectural discussions.
Review code and uphold engineering standards across the team.
Build and operate production Databricks workloads and optimize data workflows.
Collaborate with hybrid Edinburgh-based engineers and take ownership from discovery to delivery.