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- Tasks: Build and maintain data platforms and ETL pipelines using Python and Dagster.
- Company: Join a leading Commodities Trading company in the Oil & Gas markets.
- Benefits: Earn up to £800 per day with hybrid working options in Central London.
- Why this job: Shape the future of data engineering in a dynamic, innovative environment.
- Qualifications: Experience with Python, Snowflake, Dagster, Terraform, and AWS is essential.
- Other info: This is a 6-month rolling contract with opportunities for growth.
The predicted salary is between 60000 - 84000 £ per year.
A Data Platform Engineer is needed to join a growing Commodities Trading company at the forefront of the global Oil & Gas markets as they are looking to heavily invest in the Enterprise Data Platform to support smarter and faster trading decisions. This is a unique opportunity to work in a central data architecture team that sets the standards for data engineering across the organisation.
This role will be hands on with core responsibilities consisting of building and maintaining the core data infrastructure that powers analytics, trading, and operational insights across the business. As a Data Platform Engineer, you’ll be working with tech such as: Snowflake, Dagster, Terraform, & AWS and will play a key role in shaping the future of the firm’s data ecosystem.
This Data Platform Engineer role is a 6-month rolling contract. Rate on this Data Platform Engineer role is paying up to £800 per day, Inside IR35. Hybrid working: 3 days a week from Central London.
Key Responsibilities:- Design, build, and maintain enterprise-grade data platforms and ETL pipelines using Dagster and Python.
- Lead the adoption and integration of Snowflake as the firm transitions from legacy technologies.
- Collaborate with internal dev teams to test and deploy new technologies.
- Implement Infrastructure as Code using Terraform to automate platform orchestration.
- Ensure alignment with enterprise-wide data architecture standards.
- Support CI/CD practices and DevOps workflows for data engineering.
- Work in a cloud environment such as AWS but also work in on-prem too.
- Work in a regulated environment, ideally with experience in Capital Markets or Commodities.
If you are interested, please reply with your latest CV ASAP, or send to jack@virtuetech.io.
Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | 6 Months Rolling | ... employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | 6 Months Rolling | ...
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, Dagster, and AWS. Consider building a small project or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the energy trading sector, especially those who work with data platforms. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your discussions during interviews.
✨Tip Number 3
Prepare to discuss your experience with Infrastructure as Code, particularly using Terraform. Be ready to share examples of how you've implemented automation in previous roles, as this is a key responsibility for the position.
✨Tip Number 4
Research the company’s current data architecture and any recent news related to their technology investments. This knowledge will not only help you understand their needs better but also allow you to ask insightful questions during the interview, showcasing your genuine interest in the role.
We think you need these skills to ace Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | 6 Months Rolling | ...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Python, Snowflake, Dagster, and AWS. Emphasise any previous roles where you designed or maintained data platforms, as well as your familiarity with ETL pipelines.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as implementing Infrastructure as Code or working in a regulated environment.
Showcase Relevant Skills: Clearly list your technical skills related to the job, including your proficiency in Terraform, CI/CD practices, and any experience in Capital Markets or Commodities. Use bullet points for clarity and impact.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Platform Engineer.
How to prepare for a job interview at VirtueTech Recruitment Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Snowflake, Dagster, and AWS during the interview. Be prepared to discuss specific projects where you've used these technologies and how they contributed to successful outcomes.
✨Understand the Business Context
Familiarise yourself with the energy trading sector and the role of data in making trading decisions. This will help you demonstrate your understanding of how your technical skills can directly impact the company's operations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly related to data platforms and ETL pipelines, and be ready to explain how you overcame them.
✨Emphasise Collaboration and Communication
Since the role involves working with internal development teams, be sure to discuss your experience in collaborative environments. Highlight any instances where you successfully communicated complex technical concepts to non-technical stakeholders.
