At a Glance
- Tasks: Join us as an Associate Data Engineer, focusing on data pipelines and analytics.
- Company: Shell is a leading energy company committed to sustainability and innovation.
- Benefits: Enjoy flexible working hours, remote options, and competitive salary with performance bonuses.
- Why this job: Be part of a diverse team tackling global energy challenges while growing your skills.
- Qualifications: Computer science degree or equivalent; experience in data engineering and SAP projects preferred.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 28800 - 43200 £ per year.
The Associate Data Engineer applies techniques such as business intelligence (BI), reporting and data modelling, analytical techniques and data processing to provide the business with relevant information to increase revenues, improve operational efficiency, optimise customer programmes, respond quickly to emerging market trends and gain a competitive edge in the market. You will provide operational and functional support to the business on creating, storing, managing and maintaining information in all forms, including the ability to incorporate policies and procedures for centrally managing and sharing information among different individuals, organisations and information systems throughout the information life cycle.
Your role specifically focuses on the SAP domain. Contributes to multiple data engineering projects. Team members in defining and building the data pipelines that will enable faster, better, data-informed decision-making within the business. Supports the implementation of a new data solution which supports high amounts and velocity of data and supports future growth. Works with latest developments, testing and deployment techniques to support the deployment of new releases to e.g. deploy new data pipelines and add data sources. Acts as part of a Scrum, or as a Scrum Stakeholder (e.g. Agile White belt accredited) when required. Supports stakeholders by gathering, analysing and modelling data & key performance indicators to develop quantitative and qualitative business insights in an agile fashion. Identifies and proposes opportunities for improved data analysis. Opinions valued within the team and by project manager. Supports stakeholders by gathering, analysing and modelling data and key performance indicators of moderate complexity. Working as part of a Team to develop and deploy big innovative data platforms for advanced analytics and data processing. Works under direct supervision of Manager / Team Lead for moderately complex activities; broad guidance on operational activities.
What you bring:
- Computer science or equivalent degree
- Experience with data engineering work and / or Data aspects across SAP implementation projects
- Ability to translate requirements into design & delivery of data solutions
- Stakeholder communications skills
- Awareness of SAP functionalities, particularly with respect to data management and standards
- Learner mindset and strong ownership of bringing issues to resolution
What we offer:
- You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet.
- You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another.
- You’ll be able to 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 flexible working hours, and the possibility of remote/mobile working.
- 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 international teams.
- Gain access to a wide range of training and development programmes.
We'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies.
Shell UK remains one of the North Sea’s biggest producers, supplying around 10% of the UK’s total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations. In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.
Associate Data Engineer employer: Shell
Contact Detail:
Shell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Engineer
✨Tip Number 1
Familiarise yourself with SAP functionalities, especially those related to data management. Understanding how SAP integrates with data engineering will give you a significant edge during interviews and discussions with stakeholders.
✨Tip Number 2
Engage in networking within the data engineering community, particularly those who have experience with SAP projects. This can provide you with insights into industry trends and potentially lead to referrals or recommendations.
✨Tip Number 3
Showcase your ability to work in Agile environments by gaining some experience with Scrum methodologies. Being able to demonstrate your understanding of Agile practices will be beneficial, as this role involves working in Scrum teams.
✨Tip Number 4
Prepare to discuss specific data engineering projects you've worked on, focusing on how you contributed to data pipelines and analytics. Highlighting your hands-on experience will help you stand out as a candidate who can hit the ground running.
We think you need these skills to ace Associate Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate Data Engineer position. Familiarise yourself with data engineering concepts, particularly in relation to SAP, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have with data engineering, SAP projects, or similar roles. Be specific about your contributions to previous projects and how they relate to the skills mentioned in the job description.
Showcase Your Skills: Clearly outline your technical skills, especially those related to data processing, business intelligence, and stakeholder communication. Use examples to demonstrate how you've successfully applied these skills in past roles.
Craft a Compelling Cover Letter: Write a personalised cover letter that connects your background to the role. Mention why you're interested in working for Shell and how you align with their values, such as integrity and respect. Make it clear how you can contribute to their goals in the energy transition.
How to prepare for a job interview at Shell
✨Understand the SAP Domain
Familiarise yourself with SAP functionalities, especially in relation to data management. Be prepared to discuss how your experience aligns with the specific requirements of the role and how you can contribute to data engineering projects within the SAP environment.
✨Showcase Your Data Engineering Experience
Highlight any previous work you've done in data engineering or related fields. Be ready to provide examples of data pipelines you've built or contributed to, and how they improved decision-making processes in your past roles.
✨Demonstrate Stakeholder Communication Skills
Prepare to discuss how you've effectively communicated with stakeholders in the past. Share examples of how you've gathered and analysed data to provide insights that influenced business decisions, showcasing your ability to translate complex data into understandable information.
✨Emphasise Your Learner Mindset
Express your willingness to learn and adapt, especially in a fast-paced environment like data engineering. Discuss any recent training or self-study you've undertaken to stay updated with the latest developments in data processing and analytics.