Software Developer - Python - Data Migration

SR2
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Databases
Data Transformation
Data Migration
Data Structures
Python
PostgreSQL
Reverse Engineering
Jupyter Notebook
Flask
Technical Debt
FastAPI
Legacy Systems

Job description

We're supporting a fast-growing AI scale-up on an intensive 3-month migration programme, moving existing client environments onto a next-generation platform. This is a hands-on role for a pragmatic Python developer who enjoys untangling Legacy systems, working at pace, and delivering outcomes rather than perfection., You'll join a rapidly scaling engineering team to design and build migration tooling that transitions complex, poorly documented client environments into a modern platform. The work is investigative, collaborative, and delivery-focused, requiring close alignment with Product and Customer Success to define and validate what "good" looks like., * Rapidly reverse-engineer undocumented PostgreSQL schemas and Legacy data structures

  • Understand how existing database records and S3-stored objects drive product behaviour
  • Build Python-based migration scripts to transform Legacy notebooks and data into new platform formats
  • Handle pickle file deserialisation and complex data transformation logic
  • Collaborate with Product and Customer Success to define migration acceptance criteria
  • Balance speed and quality to meet an aggressive delivery timeline
  • Validate migration outputs against agreed business requirements
  • Document migration logic, decisions, and create runbooks for handover

Requirements

  • Strong Python development experience in production environments
  • Solid PostgreSQL knowledge, including complex schemas and relationships
  • Proven ability to reverse-engineer undocumented or Legacy systems
  • Experience working with APIs (Flask and/or FastAPI)
  • Familiarity with S3 or similar object storage
  • Confident communicator able to explain technical concepts to non-technical stakeholders
  • Comfortable working at pace with ambiguity and evolving requirements

Desirable

  • Experience delivering data migration or platform modernisation projects
  • Exposure to Jupyter notebooks or computational notebook environments
  • Background in consulting, contracting, or startup environments
  • Experience working with Legacy systems and technical debt
  • Knowledge of data serialisation formats and trade-offs

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