At a Glance
- Tasks: Lead data operations and ensure reliable data flows for Shell Energy Trading.
- Company: Join Shell, a leader in energy and innovation.
- Benefits: Competitive salary, flexible working options, and extensive training opportunities.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
- Why this job: Make a real impact in the energy sector while developing your skills.
- Qualifications: Experience in data operations and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
As the Data Operations Lead, you will ensure robust, reliable, and responsive data operations across Shell Energy Trading, 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, the Data Operations Lead combines technical oversight with operational excellence to guarantee that Shell Energy’s trading data infrastructure is fully optimised.
What you’ll be doing
- Data Pipeline Operations: Run and monitor intraday and end-of-day (EOD) data pipelines across trading systems. Ensure timely and accurate data delivery to support trading, risk, and analytics functions.
- Service Level Management: Define and manage SLAs for data availability, quality, and performance. Track and report operational metrics to stakeholders.
- Reliability & Incident Management: Implement robust reliability practices for critical data services. Lead incident response and root cause analysis for data-related issues. Manage change requests and ensure controlled deployments.
- Disaster Recovery & Failover: Execute DR and failover plans for critical data services to ensure business continuity.
- Data Request & Support Management: Act as the single point of contact (DPM) for new data requests and support queries. Serve as the first port of call for all data queries, issues, and requests from business users.
- Continuous Improvement: Identify opportunities to enhance pipeline efficiency, reliability, and automation. Collaborate with Data Engineering and IDT teams to implement improvements.
What you bring
- 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.
What we offer
- Work with talented, committed people on one of the most important challenges facing our planet.
- Opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another.
- Balance your priorities as you become the best version of yourself.
- Progress as a person as we work on the energy transition together.
- Continuously grow the transferable skills you need to get ahead.
- Work at the forefront of technology, trends, and practices.
- Collaborate with experienced colleagues with unique expertise.
- Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
- Benefit from a range of flexible working options.
- Perform at your best with a competitive starting salary and annual performance related salary increase.
- Take advantage of paid parental leave, including for non-birthing parents.
- Join an organisation working to become one of the most diverse and inclusive in the world.
- Grow as you progress through diverse career opportunities in national and international teams.
- Gain access to a wide range of training and development programmes.
We are committed to attracting a broader and more diverse pool of candidates. If this position doesn’t feel like the perfect fit for your qualifications right now, we’d still love to hear from you.
Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments during the application or interview process, please let us know when prompted in your application.
Data Operations Lead, Shell Energy employer: Shell
At Shell Energy, we pride ourselves on being an exceptional employer, offering a dynamic work culture that values integrity, respect, and personal growth. As a Data Operations Lead, you will collaborate with talented professionals at the forefront of energy transition, benefiting from flexible working options, competitive salaries, and extensive training programmes. Join us in making a meaningful impact while enjoying a diverse and inclusive environment that supports your career development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Lead, Shell Energy
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Shell Energy on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Shell's values and recent projects. Show us that you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission in energy transition.
✨Tip Number 3
Practice your STAR technique for answering behavioural questions. We want to hear about specific situations where you’ve demonstrated your skills in data operations and incident management. Be ready to impress!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can keep you fresh in their minds and show us that you’re enthusiastic about the role. Plus, it’s just good manners!
We think you need these skills to ace Data Operations Lead, Shell Energy
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Operations Lead role. Highlight your experience with data pipelines and incident management, as these are key aspects of the job.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you’ve successfully managed data operations or improved processes in a trading environment.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We want to see your qualifications without wading through unnecessary fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Shell Energy.
How to prepare for a job interview at Shell
✨Know Your Data Inside Out
As a Data Operations Lead, you'll need to demonstrate a solid understanding of data pipelines and trading systems. Brush up on your knowledge of data flows, SLAs, and incident management processes. Be ready to discuss specific examples from your past experience that showcase your expertise in these areas.
✨Showcase Your Problem-Solving Skills
Expect questions about how you've handled data-related issues in the past. Prepare to share stories where you led incident responses or implemented disaster recovery plans. Highlight your ability to think on your feet and manage change requests effectively under pressure.
✨Communicate Clearly and Confidently
Excellent stakeholder management is key for this role. Practice articulating complex data concepts in simple terms. During the interview, ensure you engage with your interviewers by asking clarifying questions and summarising their points to show you're actively listening.
✨Emphasise Continuous Improvement
Shell Energy values innovation and efficiency. Be prepared to discuss how you've identified opportunities for improvement in previous roles. Share any experiences where you collaborated with teams to enhance data operations or automate processes, as this will resonate well with the interviewers.
