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For Companies At a Glance
- Tasks: Lead data projects and collaborate with teams to create innovative solutions.
- Company: Join a global leader in energy and commodities trading.
- Benefits: Enjoy a £140,000 salary, bonuses, and comprehensive health benefits.
- Why this job: Great opportunity for growth and leadership in a cutting-edge tech environment.
- Qualifications: 8+ years in data engineering with strong Python and SQL skills required.
- Other info: No CV needed; this is a full-time role.
The predicted salary is between 84000 - 196000 £ per year.
Senior Data Engineer – Commodities trading
Saragossa, Greater London, England, United Kingdom
Overview
Senior Data Engineer role in a global commodities firm focused on energy and commodities trading. The team is implementing new data projects, starting with a migration onto Snowflake. You will collaborate with the business and Data Science teams to define solutions and build them using Python and SQL, selecting off-the-shelf products or building from scratch as needed. There is a strong path to leadership responsibilities.
Responsibilities
- Lead or contribute to data projects from requirements through implementation, starting with Snowflake migration.
- Interface with business stakeholders to understand needs and translate them into technical solutions.
- Collaborate with the Data Science team to design scalable data solutions.
- Develop using primarily Python and SQL; evaluate off-the-shelf products or build custom solutions as needed.
- Adopt and implement cutting-edge technologies as the team evolves.
Qualifications
- At least 8 years in a commercial data engineering role (senior level).
- Strong Python and SQL skills.
- Capital Markets experience is mandatory; any asset class experience is acceptable.
Compensation & Benefits
Starting salary up to £140,000 plus a performance-related bonus. Benefits include medical, dental and life insurance, pension, wellness programs, generous parental leave, and various other perks.
Additional Information
No up-to-date CV required. This is a full-time role.
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Senior Data Engineer – Commodities trading – £140,000 Salary + Bonus employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Commodities trading – £140,000 Salary + Bonus
✨Tip Number 1
Familiarise yourself with Snowflake and its migration processes. Since this role involves a significant migration to Snowflake, demonstrating your knowledge or experience with this platform can set you apart from other candidates.
✨Tip Number 2
Brush up on your Python and SQL skills, focusing on how they apply to data engineering in the commodities trading sector. Being able to discuss specific projects or challenges you've tackled using these technologies will show your expertise.
✨Tip Number 3
Network with professionals in the capital markets and commodities trading space. Engaging with industry contacts can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss your leadership experiences and how you've contributed to team projects. This role has a strong path to leadership, so showcasing your ability to lead and mentor others will be crucial.
We think you need these skills to ace Senior Data Engineer – Commodities trading – £140,000 Salary + Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Python and SQL. Emphasise any relevant projects you've worked on, especially those involving Snowflake or capital markets.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Data Engineer role specifically within commodities trading. Mention your experience with data migration projects and how you can contribute to the team.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in previous roles. Use metrics to demonstrate your impact, such as improvements in data processing times or successful project completions.
Prepare for Technical Questions: Anticipate technical questions related to Python, SQL, and data engineering principles. Be ready to discuss your approach to problem-solving and how you've implemented solutions in past projects.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Make sure to highlight your strong Python and SQL skills during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to data migration or building scalable solutions.
✨Demonstrate Capital Markets Knowledge
Since capital markets experience is mandatory, brush up on your knowledge of various asset classes. Be ready to discuss how your experience aligns with the commodities trading sector and how you can contribute to their data projects.
✨Prepare for Stakeholder Interaction
As the role involves interfacing with business stakeholders, practice explaining technical concepts in a way that non-technical people can understand. This will show your ability to bridge the gap between technical and business needs.
✨Emphasise Leadership Potential
With a strong path to leadership responsibilities, express your interest in taking on more leadership roles. Share examples of how you've led projects or mentored others in your previous positions to demonstrate your readiness for this aspect of the role.
