At a Glance
- Tasks: Join a global energy trading company as a Data Engineer and enhance their data management systems.
- Company: RJC Group, a leader in energy trading with a focus on innovation.
- Benefits: Competitive salary based on skills, plus opportunities for growth and development.
- Other info: Dynamic team environment with a focus on career advancement.
- Why this job: Make an impact in the energy sector while working with cutting-edge data technologies.
- Qualifications: Experience in market data processing and strong ETL/ELT knowledge required.
The predicted salary is between 60750 - 74250 £ per year.
This range is provided by RJC Group.
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range Direct message the job poster from RJC Group Overview RJC is working a Data Engineer role for a global energy trading company based in London.
Working as part of the market data team, they are looking for an experienced data engineer to help developer their data management system to support their front office trading desks.
Responsibilities The role demands an understanding of market data processing, experience with developing systems for live data feed consumption and familiarity with ETL processes and data warehousing methodologies.
Strong expertise in market data onboarding, processing, and integration using file transfers, APIs, and web scraping.
Proven experience in designing and implementing data management systems and automated data applications.
Solid knowledge of ETL/ELT pipelines and data warehousing best practices.
Familiarity with tools such as Zema, Docker, and deployment technologies, with experience in commodities or financial trading environments preferred.
Qualifications Experience with market data onboarding, processing, and integration.
Demonstrated ability to design and implement data management systems and automated data applications.
Strong knowledge of ETL/ELT pipelines and data warehousing best practices.
Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Oil and Gas, Oil, Gas, and Mining, and Utilities #J-18808-Ljbffr
Data Engineer employer: RJC Group
As a Senior Product Owner in the energy trading sector, you will thrive in a dynamic and innovative work culture that prioritises employee growth and development. Our company offers competitive benefits, including opportunities to work on cutting-edge AI transformation projects, ensuring that you are at the forefront of industry advancements while making a meaningful impact on compliance and operational efficiency.
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 RJC 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 RJC 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 RJC Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at RJC 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 RJC 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 RJC 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 RJC 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 RJC 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.
