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 City of London employer: Norton Blake
Norton Blake offers an exceptional work environment for Senior Data Engineers, situated in the vibrant Canary Wharf area of London. With a hybrid work model and a focus on employee growth, you will have the opportunity to lead innovative data solutions in a dynamic energy trading sector while collaborating with a diverse team across global time zones. The company's commitment to technical excellence and agile methodologies ensures that you will thrive in a culture that values both professional development and impactful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Data Engineer in City of London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Senior Python Data Engineer in City of London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Python Data Engineer at Norton Blake, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Norton Blake.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Norton Blake
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
