At a Glance
- Tasks: Lead data operations and ensure smooth data flows for trading at Shell Energy.
- Company: Join Shell Energy, a leader in the energy sector with a focus on innovation.
- Benefits: Enjoy competitive salary, flexible working, and paid parental leave.
- Other info: Be part of a diverse team that values integrity and collaboration.
- Why this job: Make a real impact in a tech-driven environment while developing valuable skills.
- Qualifications: Experience in data operations and strong communication skills are essential.
The predicted salary is between 60000 - 75000 £ per year.
As the Data Operations Lead in Shell Energy Trading, you will ensure robust, reliable, and responsive data operations across the organization, acting as the operational backbone for all data flows and user support. This role is critical to maintaining the integrity and availability of trading data pipelines, managing SLAs, and providing first‑line support for data‑related queries and requests. Reporting to the Chief Data Officer, you will combine technical oversight with operational excellence to guarantee that Shell Energy’s trading data infrastructure is fully optimised.
Responsibilities
- Run and monitor intraday and end‑of‑day data pipelines across trading systems and ensure timely, accurate delivery to support trading, risk, and analytics functions.
- Define and manage SLAs for data availability, quality, and performance, track and report operational metrics to stakeholders.
- Implement robust reliability practices for critical data services and lead incident response and root‑cause analysis for data‑related issues.
- Manage change requests and ensure controlled deployments.
- Execute disaster recovery and failover plans for critical data services to ensure business continuity.
- Act as the single point of contact for new data requests and support queries; serve as the first port of call for all data queries, issues, and requests from business users.
- Identify opportunities to enhance pipeline efficiency, reliability, and automation, and collaborate with Data Engineering and IDT teams to implement improvements.
Qualifications
- Strong background in data operations within trading or financial services environments.
- Hands‑on experience with data pipelines, scheduling tools, and monitoring systems.
- Familiarity with incident management, change control, and disaster recovery processes.
- Excellent stakeholder management and communication skills.
- Ability to work under pressure and deliver in time‑sensitive environments.
- Knowledge of energy trading systems and data flows is highly desirable.
Benefits
- Competitive starting salary with annual performance‑related increases.
- Paid parental leave, including for non‑birthing parents.
- Flexible working options.
- Opportunity to develop transferable skills in a technology‑driven environment.
- Collaborative culture that encourages honesty, integrity, and respect.
- We are committed to diversity and inclusion and encourage applicants of all backgrounds to apply.
Data Operations Lead, Shell Energy in London employer: Shell
At Shell Energy, we pride ourselves on being an excellent employer, offering a dynamic work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through competitive salaries, flexible working options, and a culture that values diversity and inclusion. Join us in our London office, where you will play a pivotal role in optimising data operations within the energy trading sector, ensuring your contributions are both meaningful and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Lead, Shell Energy in London
✨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 Shell!
✨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 Operations Lead, Shell Energy at Shell.
✨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 Shell.
✨Apply Directly through Our Website
When you find a suitable opening like Data Operations Lead, Shell Energy at Shell, 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 Operations Lead, Shell Energy in London
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 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 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 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 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.
