PRIMUS Global Solutions (PRIMUS UK & Europe)
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Required skills include Python, Pandas, NumPy, SQL, Plotly Dash, and software engineering practices. Strong communication skills are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Unit Testing #Libraries #Pytest #Programming #REST (Representational State Transfer) #Data Cleaning #Data Manipulation #Version Control #GIT #Documentation #Data Engineering #Plotly Dash #SQL (Structured Query Language) #NumPy #Pandas #Plotly #HTML (Hypertext Markup Language) #Python #REST API
Role description
1. Soft Skills: Strong written and verbal communication skills
1. Experience:
a. 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)
b. 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
c. 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
d. 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
1. Soft Skills: Strong written and verbal communication skills
1. Experience:
a. 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)
b. 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
c. 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
d. 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
