At a Glance
- Tasks: Lead and design scalable data pipelines using Python in a dynamic trading environment.
- Company: Join Norton Blake, a premier player in the Energy & Trading sector.
- Benefits: Long-term contract, hybrid work model, and state-of-the-art office in Canary Wharf.
- Other info: Prepare for a rigorous technical assessment to showcase your coding skills.
- Why this job: Make a real impact by architecting enterprise-grade data solutions in a fast-paced setting.
- Qualifications: 8+ years in Python scripting and data engineering, with energy trading experience.
The predicted salary is between 60000 - 80000 £ per year.
Norton Blake is partnering with a premier, global player within the Energy & Trading sector to find a heavyweight Senior Data Engineer. This is a long-term contract opportunity based in their state-of-the-art Canary Wharf office, offering the chance to lead and architect enterprise-grade data solutions within a fast-paced, high-impact environment.
As a Senior Data Engineer, you will bridge the gap between heavy-duty data engineering and core Python enterprise development. You will take technical ownership of designing, optimizing, and scaling native Python ETL pipelines and robust data processing frameworks.
Given the nature of the trading floor, this role demands someone who thrives under agility, coordinates seamlessly across global time zones, and brings a strong, motivated leadership presence to the technical team.
Key Responsibilities- Pipeline Architecture: Lead the design, end-to-end development, and optimization of highly scalable data pipelines and enterprise-grade Python applications.
- Technical Leadership: Serve as the subject matter expert for Python development, championing best practices for automation, scraping, data processing, and integration workflows.
- Data Manipulation: Extract and process complex datasets using data-centric libraries (Pandas, NumPy, Polars) and scraping/parsing tools (BeautifulSoup, Selenium, Requests, pdfplumber).
- Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy cloud-based workflows seamlessly across AWS (S3) and Azure Databricks.
- DevOps Integration: Embed CI/CD best practices using Azure DevOps, Jenkins, and Git to ensure smooth, automated deployments.
- Agile Delivery: Drive project delivery using Scrum/Agile methodologies, coordinating effectively with cross-functional teams across multiple geographic locations.
- Industry Experience: A proven track record working within the Energy Trading or broader trading/commodities domain is essential.
- Experience Level: 8+ years of dedicated experience in Python scripting and data engineering.
- Core Tech Stack: Deep proficiency with Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow.
- Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests.
- Data Ecosystems: Strong background in building native Python ETL pipelines for data scraping/processing. Big Data experience or knowledge of Spark is highly advantageous.
- Recent Hands-On Code Execution is Required: This role is for a pure, active developer. If your recent experience has drifted into pure management or architecture without daily coding, this will not be the right fit.
- Technical Assessment: Candidates must be fully prepared to complete a rigorous live technical assessment/coding questions focusing on core Python and data engineering competencies.
- Industry experience: Must have experience operating within the energy trading sector.
If you have the recent, deep-dive Python expertise and the Energy Trading background required to excel in this role, the team at Norton Blake wants to hear from you. Please submit your CV highlighting your recent hands-on projects within trading environments.
Senior Python Data Engineer in London employer: Norton Blake
Norton Blake is an exceptional employer, offering a dynamic work environment in the heart of Canary Wharf, where innovation meets the energy trading sector. With a strong emphasis on employee growth and development, the company fosters a collaborative culture that encourages technical leadership and agility, making it an ideal place for Senior Data Engineers to thrive. The hybrid work model and state-of-the-art facilities further enhance the work-life balance, ensuring that employees can excel both professionally and personally.
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We think you need these skills to ace Senior Python Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Norton Blake. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
