At a Glance
- Tasks: Lead data acquisition and build high-quality data pipelines on Azure.
- Company: Oman Shell, a key player in energy trading and supply.
- Benefits: Competitive salary, career growth, and the chance to impact energy security.
- Other info: Join a dynamic team driving the UK's energy transition.
- Why this job: Shape the future of energy while working with cutting-edge data technologies.
- Qualifications: Extensive data engineering experience and expertise in Azure data services.
The predicted salary is between 70000 - 90000 £ per year.
Oman Shell is seeking a Data Engineering Lead to manage the data acquisition function for Shell Energy Trading & Supply. You will define the ingestion strategy, build high-quality data pipelines, and ensure data quality and compliance. Your leadership will help shape the team and the strategies to deliver reliable data supporting Trading, Risk, Finance, and Operations.
Successful candidates will need extensive data engineering experience and expertise in Azure data services. You will play a vital role in the UK's energy transition and strengthening energy security.
Data Engineering Lead – Data Ingestion on Azure employer: Oman Shell
Oman Shell is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the UK's energy sector. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to lead impactful projects that contribute to the energy transition. Join us to be part of a forward-thinking team dedicated to delivering high-quality data solutions while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead – Data Ingestion on Azure
✨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 Oman Shell.
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We think you need these skills to ace Data Engineering Lead – Data Ingestion on Azure
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 Oman Shell, 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 Oman Shell. 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 Oman Shell
✨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 Oman Shell!
✨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.
