Python Developer

Data Engineer (Python Enterprise Developer) Location: Canary Wharf, London, UK Work Mode: Hybrid (4 Days Onsite per Week) Contract Type: Long-Term Contract Experience Required: 8+ Years Role Overvie wWe are seeking a highly skilled and hands-on Data Engineer (Python Enterprise Developer) with deep expertise in Python development, SQL, ETL engineering, and data processing. This role requires a strong Python engineer who can independently design, build, optimize, and support production-grade data pipelines and applications .The successful candidate will demonstrate extensive real-world experience with Python data processing libraries, advanced SQL development, ETL pipeline engineering, cloud platforms, and DevOps practices. Candidates should be comfortable participating in live coding assessments and discussing technical design decisions in depth .Experience within Energy Trading, Commodities Trading, Front Office Trading, or other fast-paced data-intensive environments will be highly advantageous . Mandatory Skil lsPython Developme • nt8+ years of hands-on Python development experien • ceStrong understanding of core Python programming concep • tsExperience building production-grade Python applicatio • nsObject-Oriented Programming (OO • P)Error handling, performance optimization, and code modularizati onPython Data Librari esStrong hands-on experience wit • h:Pand • asNum • PyPola • rsSeleni • umBeautiful So • upReques tsDatabase & S • QLPostgreS • QLAdvanced SQL Developme • ntComplex Joi • nsCTEs (Common Table Expression • s)Window Functio • nsQuery Optimizati • onData Modelli • ngPerformance Tuni ngETL & Data Engineeri • ngDesign and development of Python-based ETL pipelin • esData extraction, transformation, and loading using native Pyth • onData manipulation and processing using Pandas and Pola • rsWeb scraping and automation solutio nsWorkflow Orchestrati • onApache Airfl owCloud & Platform Technologi • esAzure Databric • ksAWS • S3G • itAzure DevOps CI/ CD Key Responsibilit • iesDesign, develop, and maintain enterprise-grade Python applicatio • ns.Build scalable Python-based ETL and data processing pipelin • es.Develop web scraping and automation frameworks using Selenium and Beautiful So • up.Process and transform large datasets using Pandas, NumPy, and Pola • rs.Design, optimize, and support PostgreSQL databases and SQL solutio • ns.Create and maintain Apache Airflow workflo • ws.Work with AWS S3 and Azure Databricks platfor • ms.Implement and maintain CI/CD pipelines using Azure DevOps and G • it.Troubleshoot production issues and optimize system performan • ce.Collaborate with distributed teams across multiple locations and time zon • es.Participate in Agile and Scrum delivery methodologi • es.Contribute to architecture discussions and technical solution desi gn. Essential Candidate Pro fileThe ideal candidate will • be:A strong Python engineer first and a Data Engineer sec • ond.Comfortable writing production-grade Python code da • ily.Able to explain technical design decisions and ETL trade-o • ffs.Experienced in building solutions without heavy dependency on Spark abstracti • ons.Capable of completing live coding exercises confiden • tly.Hands-on throughout the development lifecycle, from design to deploym • ent.Experienced working in high-pressure, business-critical environme nts.