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For Companies At a Glance
- Tasks: Lead the design and implementation of scalable data architecture using Databricks.
- Company: Join a global leader in commodities trading, known for innovation and technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a cutting-edge team focused on automation and user experience in data engineering.
- Qualifications: Experience with Databricks, Python, and data migration is essential; leadership skills are a plus.
- Other info: Work 4 days a week in London or Geneva, embracing a vibrant tech culture.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
We are currently supporting a global commodities trading company as they expand their leading Front Office Technology team.
We are currently seeking a hands-on Lead Data Engineer with extensive experience in Databricks. The ideal candidate will have a strong background data migration from RDBMS to Databricks, and a deep understanding of modern data architecture principles.
Your role will be focused on designing, developing and implementing a robust, scalable data architecture, utilising Databricks, to deliver multi-asset-class commodity systems, with a focus on automation, user experience, optimization, innovation and control.
Key Skills
- Databricks – ETL processes, data migration
- Python – OOP
- Lead experience
- AWS
- SQL
The role requires 4 days a week in their London or Geneva office.
If you believe you are a good match for the role please apply. We look forward to speaking with you!
Lead Data Engineer (Databricks) - Commodities Trading - Bonhill Partners employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Databricks) - Commodities Trading - Bonhill Partners
✨Tip Number 1
Make sure to showcase your hands-on experience with Databricks in any conversations or networking opportunities. Discuss specific projects where you've successfully implemented data migration from RDBMS to Databricks, as this will demonstrate your practical knowledge and expertise.
✨Tip Number 2
Familiarise yourself with the latest trends in data architecture principles. Being able to discuss modern approaches and innovations in data engineering during interviews can set you apart from other candidates and show that you're proactive about staying updated in the field.
✨Tip Number 3
Connect with current employees or alumni from the company on LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, and they might even offer tips on how to tailor your approach for the interview process.
✨Tip Number 4
Prepare to discuss your leadership experience in detail. Since the role requires lead experience, think of examples where you've successfully managed teams or projects, focusing on how you drove results and fostered collaboration among team members.
We think you need these skills to ace Lead Data Engineer (Databricks) - Commodities Trading - Bonhill Partners
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, data migration, and modern data architecture principles. Use specific examples from your past roles to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your skills align with the company's needs. Mention your hands-on experience and any relevant projects that showcase your ability to design and implement scalable data architectures.
Highlight Key Skills: Clearly list your proficiency in key skills such as Python, SQL, and AWS. Provide context for each skill by mentioning how you have applied them in previous roles, particularly in relation to ETL processes and automation.
Showcase Leadership Experience: Since the role requires lead experience, emphasise any leadership roles you've held. Discuss how you have guided teams or projects, focusing on your ability to drive innovation and optimise user experience in data systems.
How to prepare for a job interview at Bonhill Partners
✨Showcase Your Databricks Expertise
Make sure to highlight your hands-on experience with Databricks during the interview. Be prepared to discuss specific projects where you've implemented ETL processes and data migration from RDBMS to Databricks, as this is crucial for the role.
✨Demonstrate Your Understanding of Data Architecture
The company is looking for someone with a deep understanding of modern data architecture principles. Be ready to explain how you design and implement scalable data architectures, and share examples of how you've optimised user experience and control in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and AWS. Brush up on object-oriented programming concepts in Python and be ready to solve problems or write code on the spot to demonstrate your skills.
✨Emphasise Leadership Experience
As a Lead Data Engineer, you'll need to showcase your leadership abilities. Prepare to discuss your experience leading teams, mentoring junior engineers, and how you've driven innovation and optimisation in past projects.
