Data Engineer

Role Title: Data Engineer

Work mode: Hybrid, 3 days WFO

Contract duration: 12 Months

Location: London

Education: Computer Science

Soft Skills: Strong written and verbal communication skills

Experience:

• Hands on programming experience with:
• Proficient Python Programming
• Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling,
• Working with virtual environments and package management (pip, venv)

Data Manipulation & Analysis (Pandas & NumPy)

• Key libraries: pandas, numpy, (optional: polars)
• Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL

Software Engineering Best Practices

• Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters

Plotly Dash

• Key skills: Customizing with Plotly Graph Objects for advanced interactivity.
• Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables).
• REST APIs: Fetching or sending data to backend services

...