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- Tasks: Design and maintain data pipelines for commodities and energy trading.
- Company: Global leader in commodities and energy trading with a collaborative culture.
- Benefits: Competitive salary up to £175,000, bonuses, and hybrid working.
- Other info: Opportunity for career growth in a cutting-edge industry.
- Why this job: Join a dynamic team and innovate in the fast-paced energy sector.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms required.
The predicted salary is between 175000 - 175000 £ per year.
Requirements
- Extensive experience in data engineering, specifically in commodities and energy trading
- Proficiency in programming languages such as Python and SQL
- Strong understanding of data architecture and ETL processes
- Experience with cloud platforms like AWS or Azure
- Knowledge of data visualization tools like Tableau or Power BI
- Excellent problem-solving and analytical skills
- Strong communication and teamwork abilities
Responsibilities
- Design, develop, and maintain data pipelines and architectures
- Collaborate with data scientists and analysts to optimize data usage
- Ensure data quality and integrity through consistent monitoring
- Implement data governance and best practices
- Troubleshoot data-related issues and provide solutions
- Stay updated on industry trends and emerging technologies
We are a global commodities and energy trading organization with a highly diversified, asset-light business model. Our firm offers a competitive salary of up to £175,000 GBP, along with a competitive bonus structure. We support a hybrid working environment and are based in Central London, Greater London. Join our dynamic team where innovation and collaboration are at the forefront of our success.
Senior Data Engineer, Commodities & Energy Trading employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Commodities & Energy Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities and energy trading space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and cloud platforms. This will give us a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We love candidates who can think on their feet, so practice common data-related scenarios and how you'd tackle them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our dynamic team.
We think you need these skills to ace Senior Data Engineer, Commodities & Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data engineering, especially in commodities and energy trading. We want to see how your skills in Python, SQL, and cloud platforms like AWS or Azure make you the perfect fit for our team.
Showcase Your Projects: Include specific examples of data pipelines or architectures you've designed and developed. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Highlight Teamwork: Since collaboration is key for us, emphasise your teamwork abilities. Mention any projects where you worked closely with data scientists or analysts to optimise data usage – it’ll show us you’re a great fit for our dynamic environment.
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’re considered for this exciting opportunity in our innovative team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in commodities and energy trading. Be ready to discuss your experience with ETL processes and how you've designed data architectures in the past. This is your chance to showcase your technical prowess!
✨Show Off Your Programming Skills
Since proficiency in Python and SQL is a must, prepare to talk about specific projects where you've used these languages. Maybe even bring along some code snippets or examples of your work to demonstrate your expertise. It’ll show that you’re not just talking the talk but walking the walk!
✨Familiarise Yourself with Cloud Platforms
Get comfortable discussing your experience with AWS or Azure. Think about how you've leveraged these platforms in previous roles to enhance data processing or storage. Being able to articulate your cloud experience will definitely give you an edge.
✨Communicate and Collaborate
Since teamwork is key in this role, be prepared to share examples of how you've collaborated with data scientists and analysts. Highlight your problem-solving skills and how you’ve tackled data-related issues in a team setting. This will show that you can thrive in their dynamic environment!