Python Developer

Job description

**Data & Analytics Engineer** **Your responsibilities will include, but are not limited to:** - **Python Development:** Write robust, efficient, and scalable Python code to extract, transform, and load data from various sources. - **Data Modeling & SQL:** Design, write, and optimise complex SQL queries to support analytics and business intelligence efforts. - **Data Engineering & Analytics:** Build and maintain reliable ETL/ELT pipelines. Partner with stakeholders to understand their data needs and deliver clean, reliable datasets for reporting and analytics. - **Cloud Infrastructure:** Deploy, manage, and monitor data workloads using Google Cloud Platform (GCP) services (e.g., BigQuery, Cloud Storage, Dataflow, or Cloud Functions). - **AI & Problem Solving:** Act as a creative problem-solver. Keep an eye out for ways to integrate AI/ML tools or predictive analytics to automate tasks and surface deeper insights. **To be successful in this role you will have:** - **Problem Solver:** A relentless curiosity and a "figure it out" mentality. You enjoy tackling ambiguous problems and exploring how modern tech (including AI) can solve them. - **Strong Python proficiency:** You should be comfortable with data manipulation libraries (e.g., Pandas, NumPy) and have the ability to debug errors independently. - **Solid SQL skills:** Ability to write joins, and optimise query performance or make enhancements in the current SQL code to support team members in troubleshooting. - **Data Engineering Fundamentals:** A good understanding of data warehousing concepts, ETL/ELT processes, and pipeline orchestration. - **Analytical Mindset:** You don't just move data; you understand what the data means and how it impacts the business. - **Cloud Experience:** Basic familiarity with cloud platforms, preferably GCP. - Exceptional communication skills and collaboration skills.