At a Glance
- Tasks: Design and maintain a high-performance data system processing billions of rows daily.
- Company: Join Vitol, a global leader in energy and commodities with a rich history.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, evolving industry.
- Why this job: Make a real impact on trading decisions with cutting-edge data engineering.
- Qualifications: 9+ years in data engineering, strong SQL and Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
Vitol is a leader in energy and commodities, producing, managing and delivering energy and commodities, including metals, to consumers and industry worldwide. The Data Engineering team is responsible for a fundamental data system processing 50+ billion rows of data per day and feeding directly into trading decisions. The Data Engineer will be designing, implementing and maintaining this system, keeping it reliable, resilient, and low-latency.
We are looking for a highly technical engineer with strong experience working in MPP platforms and/or Spark, big data (e.g., weather forecasts, AIS pings, satellite imagery), and developing resilient and reliable data pipelines. You will be responsible for data pipelines end to end: acquisition, loading, transformation, implementing business rules/analytics, and delivery to the end user (trading desks / data science / AI).
You will partner closely with business stakeholders and engineering teams to understand their data requirements and deliver the necessary data infrastructure to support their activities. Given our scale, you should bring a deep focus on performance optimisation, improving data access times and reducing latency.
This role will require strong coding skills in SQL and Python, and a deep understanding of how to leverage the AWS stack. Strong communication is essential: you should be comfortable translating technical concepts to non-technical users, as well as turning business requirements into clear, actionable technical designs.
Qualifications:
- 9+ years in the data engineering space
- Proficient with MPP Databases (Snowflake (preferred), Redshift, Big Query, Azure DW) and/or Apache Spark
- Deep AWS or cloud understanding across core and extended services
- 5+ years experience working with at least 3 of the following: ECS, EKS, Lambda, DynamoDB, Kinesis, AWS Batch, ElasticSearch/OpenSearch, EMR, Athena, Docker/Kubernetes
- Proficient with Python and SQL, and with good experience with data modelling
- Experience with modern orchestration tools (Airflow / Prefect / Dagster / similar)
- Comfortable working in a dynamic environment with evolving requirements
- Exposure to trading and/or commodity business
- DBT experience
- Infrastructure as Code (Terraform, Cloud Formation, Ansible, Serverless)
- Database/SQL tuning skills
- Basic data science concepts
Data Engineer employer: Vitol Group
Vitol is an exceptional employer, offering a dynamic work environment where innovation meets impact in the energy and commodities sector. With a strong focus on employee growth, Vitol provides opportunities for professional development and collaboration across global teams, ensuring that Data Engineers can thrive while contributing to critical trading decisions. The company's commitment to cutting-edge technology and a culture of open communication makes it an attractive place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vitol Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Vitol Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vitol Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Vitol Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vitol Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vitol Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vitol Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vitol Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
