Norton Blake
Senior Python Data Engineer
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Senior Data Engineer (Python Enterprise Developer)
Role Overview
Position: Senior Data Engineer (Python Enterprise Developer) Location: London (Canary Wharf) Work Mode: Hybrid (4 days per week onsite) Contract Duration: Long-term contract Recruiter: Norton Blake
About the Client
Norton Blake is partnering with a global leader in Energy & Trading to recruit a Senior Data Engineer for a state-of-the-art Canary Wharf office. This long-term contract role will give you the opportunity to lead and architect enterprise-grade data solutions in a fast-paced, high-impact environment.
Key Responsibilities
- Pipeline Architecture: Lead the design, development, and optimization of scalable data pipelines and enterprise-grade Python applications.
- Technical Leadership: Champion Python best practices in automation, data scraping, processing, and integration workflows.
- Data Management: Use Pandas, NumPy, Polars for data analysis and BeautifulSoup, Selenium, Requests, pdfplumber for scraping.
- Database & Cloud Solutions: Optimise PostgreSQL queries and deploy workflows across AWS (S3) and Azure Databricks.
- DevOps & CI/CD: Implement smooth, automated deployments using Azure DevOps, Jenkins, and Git.
- Agile Collaboration: Work cross-functionally across global teams using Scrum/Agile methodologies.
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Requirements & Skills
Must-Haves (Core Requirements)
- Industry Focus: Must have 8+ years of relevant experience in Energy Trading or commodities.
- Technical Depth: Pure, hands-on Python development (management-only roles without coding not considered).
- Data Tech Stack:
- SQL (PostgreSQL), Python, Azure Databricks, AWS S3, Git (version control)
- CI/CD tools: Azure DevOps, Jenkins, Apache Airflow (advantageous)
- Library Expertise: Strong experience with Pandas, NumPy, Polars, BeautifulSoup, Selenium, Requests
- Native Python ETL: Proven track record of building and optimising ETL pipelines—Big Data/Spark experience a strong plus.
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Selection Process
- Live Technical Assessment: Rigorous coding challenge (focus on Python and data engineering).
- Fit Assessment: Relevant portfolio projects highlighted in Energy Trading environments required.
⚠️ Critical Note for Applicants
If your latest experience has moved away from day-to-day coding (e.g., into architecture/management only), this role is not a fit. Only apply if you are actively, regularly engaged in Python development.
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