Leading technology provider to the traditional and new energies industry, delivering fully integrated projects, products, and services. With a strong commitment to transforming project economics, the Customer empowers clients to tap into new energy resources while making strides in reducing carbon emissions. Their innovative approaches support ambitious energy transition goals, showcasing a dedication to sustainability.
Senior Python Developer – Data Engineering & Scientific Computing
Your responsibilities
- Write clean and maintainable Python code using PEP guidelines Build and maintain software packages for scientific computing
- Build and maintain command line interfaces (CLIs) Build and maintain web applications and dashboards
- Design and implement data analysis pipelines
- Create and maintain database schemas and queries
- Optimise code performance and scalability
- Develop and maintain automated tests to validate software
- Contribute and adhere to team software development practices, e.g., Agile product management, source code version control, continuous integration/deployment (CI/CD)
- Build and maintain machine learning models (appreciated, but not a prerequisite)
Our requirements
- 5+ years of professional experience in Python
- Bachelor’s or Master’s in CS, Data Science, or related field
- Strong Python and SQL skills; experience with NumPy, Pandas, SciPy
- Experience with web apps/dashboards: Streamlit, Dash, Flask
- Familiarity with Data visualization: Matplotlib, Seaborn, Plotly
- Familiarity with Git, CI/CD (Azure Pipelines, GitHub Actions, Docker)
- Experience with writing automated tests with pytest
- Experience with building CLIs using Click or Argparse
- Experience in database design and query optimization: PostgreSQL, Snowflake, SQLite, HDF5
- Knowledge of code performance and scalability tools (Numba, Dask)
- Agile development experience
- Experience in machine learning model development
- Background in the energy, engineering, or manufacturing sectors
- Familiarity with data security, compliance, and metadata management