At a Glance
- Tasks: Design and maintain high-performance data pipelines using Databricks on AWS.
- Company: Join a global leader in energy and commodities trading.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting role with a dynamic team and strong career advancement potential.
- Why this job: Make an impact in data engineering while collaborating with top industry professionals.
- Qualifications: Expertise in Python, SQL, and data engineering; experience with AWS and Databricks.
We are looking for a Senior Data Engineer with strong technical experience in Python, Databricks, SQL and PySpark alongside strong overall data engineering experience. This is an exciting opportunity to join the technology team of a global leader in the energy and commodities trading sector!
Key Responsibilities
- Design, develop and maintain scalable, high-performance data pipelines using Databricks on AWS.
- Build and optimise Delta Lake architectures to ensure reliable, secure and efficient data storage for trading and analytics.
- Develop and enhance the Front Office data platform, enabling traders and business users to access high-quality data for reporting, analytics and decision-making.
- Work closely with Data Scientists, Quantitative Analysts and Machine Learning Engineers to prepare data for AI and machine learning models.
- Implement and maintain CI/CD processes, automated testing and monitoring to improve the reliability and quality of data engineering solutions.
- Support MLOps processes including model deployment, lifecycle management and monitoring using MLflow.
Required Skills
- Expert-level knowledge in Apache Spark, PySpark, and Databricks — including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows.
- Advanced Python and SQL development skills.
- Strong experience with AWS cloud services (S3, Lambda, Glue, API Gateway, IAM, EC2, EKS).
- Integration of AWS-native components with Databricks.
- Strong understanding of CI/CD, DevOps and Infrastructure as Code.
- Experience implementing robust DevOps practices for data engineering.
- Experience in commodity trading markets is beneficial!
The Role
Hybrid (3 days in office, 2 from home) London.
If you think you'd be a good fit, don't hesitate to apply with your latest CV attached for immediate consideration!
Senior 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 Senior Data Engineer
✨Get Involved in Data Science Meetups
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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.
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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.
