ST Global Tech LLC

Python Data Developer with Time Series

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Developer with Time Series, requiring 9+ years of experience in the BP Account/Trading/Financial/Energy domain. Contract length is a minimum of 1 year, with a hybrid work location in Leeds, UK. Key skills include Python, data manipulation (Pandas, NumPy), Plotly Dash, and software engineering best practices.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 14, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#GIT #Pandas #Documentation #Programming #REST (Representational State Transfer) #Libraries #Data Cleaning #Version Control #HTML (Hypertext Markup Language) #Plotly #Plotly Dash #SQL (Structured Query Language) #Python #Unit Testing #Pytest #REST API #NumPy #Time Series #Data Manipulation
Role description
Software Engineer Location: Leeds, UK Hybrid – 3 days at client office and 2 days remote Duration: Minimum 1 yr. Required Skills- 9 + years’ experience must BP Account/ Trading/Financial/Energy Domain Senior - Python Development - Time Series/ + JD Relevant experience on timeseries/data package 1. Education: Software engineer 1. Soft Skills: Strong written and verbal communication skills 1. Experience: 1. Hands on programming experience with: i. Proficient Python Programming ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) 1. Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL 1. Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters 1. Plotly Dash i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST APIs: Fetching or sending data to backend services