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- Tasks: Build and optimise data pipelines using Python and cloud technologies.
- Company: Join N Consulting Ltd, a leader in energy trading solutions.
- Benefits: Competitive pay, hybrid work model, and long-term contract.
- Why this job: Make an impact in the energy sector with cutting-edge tech.
- Qualifications: 8+ years in Python, SQL, and cloud services required.
- Other info: Collaborative team environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, England, United Kingdom
Salary: £300 - £350 /year
Job Type: Contract
Date Posted: February 27th, 2026
Work mode: Hybrid (with 4 days a week at London, Canary Wharf)
Contract duration: Long term
Must have skills:
- Python
- Postgres SQL
- Azure Databricks
- AWS (S3)
- Git
- Azure DevOps CICD
- Apache Airflow
Preferred Domain: Energy trading
Minimum number of relevant years of experience: 8+
Detailed Job Description:
- 8+ years of experience in python scripting.
- Exposed to python packages such as NumPy, pandas, polars, beautiful soup, Selenium, Requests etc.
- Experience in building native python ETL pipelines for scraping/processing.
- Good to have experience in processing big data.
- Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have.
- Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git.
- Experience working with AWS services (S3, lambda, etc.) and Azure Databricks.
- Have experience in delivering projects with Agile and Scrum methodology.
- Able to co-ordinate with teams across multiple locations and time zones.
- Strong interpersonal and communication skills with an ability to lead a team and keep them motivated.
Data Engineer (Python Enterprise Developer) employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Python Enterprise Developer)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know who might have a lead on your next opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your Python projects, especially those involving ETL pipelines or big data processing. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common coding challenges and be ready to discuss your experience with tools like Azure Databricks and AWS. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also shows you're serious about landing that Data Engineer position!
We think you need these skills to ace Data Engineer (Python Enterprise Developer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Postgres SQL, and any relevant tools like Azure Databricks. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Engineer role. Mention your experience in energy trading if applicable, and how you’ve successfully delivered projects using Agile and Scrum methodologies.
Showcase Your Projects: If you've worked on any cool projects involving ETL pipelines or big data processing, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to the technologies listed in the job description.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, Postgres SQL, and the other tech mentioned in the job description. Brush up on your knowledge of libraries like NumPy and pandas, and be ready to discuss how you've used them in past projects.
✨Showcase Your ETL Experience
Prepare to talk about your experience building ETL pipelines. Have specific examples ready that demonstrate your ability to scrape and process data effectively. This will show that you can hit the ground running in this role.
✨Familiarise Yourself with Agile Methodologies
Since the company values Agile and Scrum methodologies, be prepared to discuss your experience working in these frameworks. Share examples of how you’ve contributed to team success in a fast-paced environment.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you may need to coordinate with teams across different locations. Confidence in your communication can set you apart!